Computer Science Curriculum
File List
- NA/Database Design Course - Learn how to design and plan a database for beginners.mp4 5.7 GB
- Statistics (Full Length Videos)/Statistics Lecture 7.2 - Finding Confidence Intervals for the Population Proportion.mp4 1.2 GB
- NA/SQL Tutorial - Full Database Course for Beginners.mp4 1.2 GB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 26. More Prefetching and Emerging Memory Technologies - CMU - Comp. Arch. 2015 - Onur Mutlu.mp4 1.1 GB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 11. Precise Exceptions, State Maintenance_Recovery - CMU - Comp. Arch. 2015 - Onur Mutlu.mp4 1.1 GB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 8. Pipelining II - Data and Control Dependence Handling - CMU - Comp. Arch. 2015 - Onur Mutlu.mp4 1.1 GB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 6. Microarchitecture II - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 1.1 GB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 32. Heterogeneous Systems - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 1.1 GB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 23 - Memory Management - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 1.1 GB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 9. Branch Prediction I - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 1.1 GB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 28. Memory Consistency and Cache Coherence - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 1.1 GB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 24 - Simulation & Memory Latency Tolerance - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 1.0 GB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 14. SIMD (Vector Processors) - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 1.0 GB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 22 - Memory Controllers - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 1021.6 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 20. Virtual Memory - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 1004.6 MB
- Statistics (Full Length Videos)/Statistics Lecture 3.3 - Finding the Standard Deviation of a Data Set.mp4 1003.1 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 12. Out of Order Execution - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 1002.0 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 2. Fundamental Concepts and ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 948.7 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 1. Introduction and Basics - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 947.9 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 29. Cache Coherence - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 940.5 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 33. Interconnection Networks - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 914.5 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 7. Pipelining - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 893.9 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 9 - More Replication, CRAQ.mp4 890.6 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Final Review Session - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 888.4 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Midterm 1 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 855.6 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 31. Predictable Performance - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 853.5 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 27. Multiprocessors - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 839.3 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 4 - Primary-Backup Replication.mp4 823.4 MB
- NA/Data Structures Easy to Advanced Course - Full Tutorial from a Google Engineer.mp4 823.3 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 3 - GFS.mp4 815.5 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 8 - Zookeeper.mp4 808.0 MB
- Statistics (Full Length Videos)/Statistics Lecture 6.5 - The Central Limit Theorem for Statistics. Using z-score, Standard Score.mp4 803.3 MB
- Statistics (Full Length Videos)/Statistics Lecture 5.3 - A Study of Binomial Probability Distributions.mp4 798.7 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 10. Branch Prediction II - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 796.6 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 5. Intro to Microarchitecture - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 787.4 MB
- MIT 7.91J Foundations of Computational and Systems Biology/19. Discovering Quantitative Trait Loci (QTLs).mp4 782.6 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 11 - Cache Consistency - Frangipani.mp4 767.4 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 17. Memory Hierarchy and Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 739.6 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 1 - Introduction.mp4 730.9 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 6 - Fault Tolerance - Raft (1).mp4 729.8 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 4. ISA Tradeoffs & MIPS ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 728.0 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 18. Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 704.3 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 25 - Prefetching - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 693.7 MB
- NA/Swift Programming Tutorial for Beginners (Full Tutorial).mp4 689.7 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Review Session 2 - CMU - Computer Architecture 2014 - Onur Mutlu.mp4 685.4 MB
- Statistics (Full Length Videos)/Statistics Lecture 6.2 - Introduction to the Normal Distribution and Continuous Random Variables.mp4 671.1 MB
- MIT 7.91J Foundations of Computational and Systems Biology/17. Logic Modeling of Cell Signaling Networks.mp4 666.6 MB
- MIT 7.91J Foundations of Computational and Systems Biology/5. Library Complexity and Short Read Alignment (Mapping).mp4 662.9 MB
- NA/Artificial Intelligence Full Course _ Artificial Intelligence Tutorial for Beginners _ Edureka.mp4 661.2 MB
- MIT 7.91J Foundations of Computational and Systems Biology/11. RNA Secondary Structure; Biological Functions and Predictions.mp4 645.0 MB
- MIT 7.91J Foundations of Computational and Systems Biology/9. Modeling and Discovery of Sequence Motifs.mp4 644.0 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/14. Causal Inference, Part 1.mp4 642.9 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/9. Translating Technology Into the Clinic.mp4 641.0 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 12 - Distributed Transactions.mp4 621.4 MB
- CS224N - Natural Language Processing with Deep Learning _ Winter 2019/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 11 – Convolutional Networks for NLP.mkv 614.3 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 10 - Cloud Replicated DB, Aurora.mp4 597.6 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Recitation 3 - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 594.6 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 7 - Fault Tolerance - Raft (2).mp4 589.2 MB
- MIT 7.91J Foundations of Computational and Systems Biology/22. Causality, Natural Computing, and Engineering Genomes.mp4 587.3 MB
- Statistics (Full Length Videos)/Statistics Lecture 2.2 - Creating Frequency Distribution and Histograms.mp4 579.9 MB
- Statistics (Full Length Videos)/Statistics Lecture 4.4 - The Multiplication Rule for 'And' Probabilities..mp4 573.4 MB
- MIT 7.91J Foundations of Computational and Systems Biology/14. Predicting Protein Interactions.mp4 570.9 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 2 - RPC and Threads.mp4 570.7 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/22. Regulation of Machine Learning _ Artificial Intelligence in the US.mp4 561.7 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/4. Risk Stratification, Part 1.mp4 543.3 MB
- MIT 7.91J Foundations of Computational and Systems Biology/2. Local Alignment (BLAST) and Statistics.mp4 542.6 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/18. Disease Progression Modeling and Subtyping, Part 1.mp4 531.3 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 3. ISA Tradeoffs - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 520.5 MB
- MIT 7.91J Foundations of Computational and Systems Biology/4. Comparative Genomic Analysis of Gene Regulation.mp4 511.2 MB
- MIT 7.91J Foundations of Computational and Systems Biology/3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM).mp4 511.0 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/5. Risk Stratification, Part 2.mp4 509.6 MB
- NA/C Programming Tutorial _ Learn C programming _ C language.mp4 508.5 MB
- MIT 7.91J Foundations of Computational and Systems Biology/8. RNA-sequence Analysis - Expression, Isoforms.mp4 499.1 MB
- Statistics (Full Length Videos)/Statistics Lecture 6.3 - The Standard Normal Distribution. Using z-score, Standard Score.mp4 496.7 MB
- NA/Python Django Web Framework - Full Course for Beginners.mp4 494.1 MB
- MIT 7.91J Foundations of Computational and Systems Biology/10. Markov and Hidden Markov Models of Genomic and Protein Features.mp4 493.7 MB
- NA/C Programming Tutorial for Beginners.mp4 485.8 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 13 - Fast Reinforcement Learning III.mp4 484.5 MB
- Self-Driving Cars Lectures/Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars.mp4 476.5 MB
- MIT - Artificial Intelligence (6.034)/19. Architectures - GPS, SOAR, Subsumption, Society of Mind.mp4 472.9 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/1. What Makes Healthcare Unique.mp4 467.4 MB
- MIT - Artificial Intelligence (6.034)/2. Reasoning - Goal Trees and Problem Solving.mp4 467.0 MB
- MIT 7.91J Foundations of Computational and Systems Biology/20. Human Genetics, SNPs, and Genome Wide Associate Studies.mp4 465.8 MB
- MIT - Artificial Intelligence (6.034)/10. Introduction to Learning, Nearest Neighbors.mp4 464.7 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/2. Overview of Clinical Care.mp4 464.6 MB
- MIT - Artificial Intelligence (6.034)/7. Constraints - Interpreting Line Drawings.mp4 457.3 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/3. Deep Dive Into Clinical Data.mp4 457.1 MB
- MIT - Artificial Intelligence (6.034)/6. Search - Games, Minimax, and Alpha-Beta.mp4 454.2 MB
- NA/iOS Tutorial (2020) - How To Make Your First App.mp4 449.2 MB
- MIT - Artificial Intelligence (6.034)/Mega-R1. Rule-Based Systems.mp4 447.6 MB
- MIT 7.91J Foundations of Computational and Systems Biology/15. Gene Regulatory Networks.mp4 442.4 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/7. Natural Language Processing (NLP), Part 1.mp4 436.5 MB
- MIT - Artificial Intelligence (6.034)/5. Search - Optimal, Branch and Bound, A.mp4 435.7 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/17. Reinforcement Learning, Part 2.mp4 434.6 MB
- MIT - Artificial Intelligence (6.034)/4. Search - Depth-First, Hill Climbing, Beam.mp4 429.1 MB
- MIT - Artificial Intelligence (6.034)/Mega-R4. Neural Nets.mp4 426.6 MB
- MIT 7.91J Foundations of Computational and Systems Biology/18. Analysis of Chromatin Structure.mp4 424.6 MB
- Statistics (Full Length Videos)/Statistics Lecture 8.2 - An Introduction to Hypothesis Testing.mp4 424.0 MB
- MIT - Artificial Intelligence (6.034)/15. Learning - Near Misses, Felicity Conditions.mp4 423.8 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/19. Disease Progression Modeling and Subtyping, Part 2.mp4 422.3 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/20. Precision Medicine.mp4 421.4 MB
- NA/OpenCV Course - Full Tutorial with Python.mp4 420.0 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 5 - Go, Threads, and Raft.mp4 405.7 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/6. Physiological Time-Series.mp4 399.1 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/8. Natural Language Processing (NLP), Part 2.mp4 394.6 MB
- MIT - Artificial Intelligence (6.034)/21. Probabilistic Inference I.mp4 389.0 MB
- MIT - Artificial Intelligence (6.034)/Mega-R2. Basic Search, Optimal Search.mp4 387.5 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 1 – Course Overview _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 376.1 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/10. Application of Machine Learning to Cardiac Imaging.mp4 373.1 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 11 - Fast Reinforcement Learning.mp4 369.9 MB
- MIT - Artificial Intelligence (6.034)/22. Probabilistic Inference II.mp4 358.5 MB
- Statistics (Full Length Videos)/Statistics Lecture 4.7 - Fundamental Counting Rule, Permutations and Combinations.mp4 358.0 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/24. Robustness to Dataset Shift.mp4 350.5 MB
- MIT - Artificial Intelligence (6.034)/Mega-R6. Boosting.mp4 342.5 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/25. Interpretability.mp4 340.5 MB
- Statistics (Full Length Videos)/Statistics Lecture 8.3 - Hypothesis Testing for Population Proportion.mp4 334.9 MB
- Statistics (Full Length Videos)/Statistics Lecture 3.4 - Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation.mp4 332.9 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 3 – Word Vectors 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 327.6 MB
- Statistics (Full Length Videos)/Statistics Lecture 4.2 - Introduction to Probability.mp4 323.3 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 12 – Evaluation Methods _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 319.9 MB
- Self-Driving Cars Lectures/Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars.mp4 319.3 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 3 - Model-Free Policy Evaluation.mp4 318.5 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/12. Machine Learning for Pathology.mp4 316.4 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/21. Automating Clinical Work Flows.mp4 315.9 MB
- MIT 7.91J Foundations of Computational and Systems Biology/6. Genome Assembly.mp4 314.1 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/23. Fairness.mp4 312.7 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/11. Differential Diagnosis.mp4 312.6 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Review Session 1 - CMU - Computer Architecture 2014 - Onur Mutlu.mp4 308.3 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 11 – Semantic Parsing _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 308.2 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 2 – Word Vectors 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 303.9 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 6 – Sentiment Analysis 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 300.4 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 9 – NLI 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 296.2 MB
- Statistics (Full Length Videos)/Statistics Lecture 5.2 - A Study of Probability Distributions, Mean, and Standard Deviation.mp4 294.2 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/16. Reinforcement Learning, Part 1.mp4 288.5 MB
- Berkeley CS 162 Operating Systems/Lecture 23. Remote Procedure Call (CS 162, Fall 2013, UC Berkeley).mp4 286.7 MB
- Berkeley CS 162 Operating Systems/Lecture 02. Concurrency Processes, Threads, and Address Spaces (CS 162, Fall 2013, UC Berkeley).mp4 284.2 MB
- MIT 7.91J Foundations of Computational and Systems Biology/7. ChIP-seq Analysis; DNA-protein Interactions.mp4 284.1 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 14 – Contextual Vectors _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 278.1 MB
- Statistics (Full Length Videos)/Statistics Lecture 1.5 - Sampling Techniques. How to Develop a Random Sample.mp4 273.8 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 5 – Sentiment Analysis 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 273.1 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 15 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 273.1 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 15. GPUs, VLIW, Execution Models - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 272.3 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 8 – NLI 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 270.8 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 20 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 270.1 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 8 - Policy Gradient I.mp4 270.0 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 21 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 268.3 MB
- MIT 7.91J Foundations of Computational and Systems Biology/12. Introduction to Protein Structure; Structure Comparison and Classification.mp4 266.5 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 11 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 265.0 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 7 – Relation Extraction _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 264.3 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 2.mp4 263.9 MB
- Berkeley CS 162 Operating Systems/Lecture 24. Capstone - Cloud Computing (CS 162, Fall 2013, UC Berkeley).mp4 263.7 MB
- Statistics (Full Length Videos)/Statistics Lecture 4.3 - The Addition Rule for Probability.mp4 263.2 MB
- Berkeley CS 162 Operating Systems/Lecture 03. Concurrency and Thread Dispatching (CS 162, Fall 2013, UC Berkeley).mp4 258.4 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 13. Out of Order Execution II and Data Flow - CMU - Comp. Arch. 2015 - Onur Mutlu.mp4 257.9 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Midterm 2 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 257.3 MB
- Berkeley CS 162 Operating Systems/Lecture 01. Overview (CS 162, Fall 2013, UC Berkeley).mp4 255.4 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 5 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 254.0 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 16. Static Instruction Scheduling - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 253.9 MB
- Statistics (Full Length Videos)/Statistics Lecture 3.2 - Finding the Center of a Data Set. Mean, Median, Mode.mp4 248.6 MB
- MIT - Artificial Intelligence (6.034)/11. Learning - Identification Trees, Disorder.mp4 246.2 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 19. High Performance Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 245.0 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 3.mp4 240.9 MB
- Self-Driving Cars Lectures/MIT Self-Driving Cars (2018).mp4 240.7 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 10 - Policy Gradient III & Review.mp4 239.5 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 1.mp4 237.2 MB
- MIT - Artificial Intelligence (6.034)/Mega-R3. Games, Minimax, Alpha-Beta.mp4 237.0 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 21.mp4 234.0 MB
- MIT - Artificial Intelligence (6.034)/17. Learning - Boosting.mp4 233.5 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 21 - Main Memory and the DRAM System - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 233.0 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 16 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 232.1 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 15 – Presenting Your Work _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 231.8 MB
- MIT - Artificial Intelligence (6.034)/13. Learning - Genetic Algorithms.mp4 231.8 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 4.mp4 231.4 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 17.mp4 228.6 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 7.mp4 228.6 MB
- MIT 7.91J Foundations of Computational and Systems Biology/21. Synthetic Biology - From Parts to Modules to Therapeutic Systems.mp4 228.3 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 25.mp4 228.2 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 13 – Evaluation Metrics _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 227.3 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 23.mp4 226.7 MB
- MIT - Artificial Intelligence (6.034)/12a - Neural Nets.mp4 226.5 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 11.mp4 225.9 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 15.mp4 225.8 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 26.mp4 225.0 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 24.mp4 224.8 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 6 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 224.8 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 20.mp4 224.5 MB
- MIT - Artificial Intelligence (6.034)/18. Representations - Classes, Trajectories, Transitions.mp4 224.4 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 12.mp4 224.2 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 12 - Fast Reinforcement Learning II.mp4 222.7 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 9.mp4 222.3 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 18.mp4 222.3 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 13.mp4 221.9 MB
- Self-Driving Cars Lectures/Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars.mp4 221.3 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 16.mp4 221.1 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 10.mp4 220.3 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 6.mp4 220.0 MB
- Berkeley CS 162 Operating Systems/Lecture 19. Transactions, Two Phase Locking 2PL & Commit 2PC (CS 162, Fall 2013, UC Berkeley).mp4 219.7 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 4 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 219.3 MB
- MIT - Artificial Intelligence (6.034)/1. Introduction and Scope.mp4 219.2 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 15 - Big Data - Spark.mp4 218.0 MB
- MIT - Artificial Intelligence (6.034)/3. Reasoning - Goal Trees and Rule-Based Expert Systems.mp4 217.6 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 8.mp4 217.4 MB
- NA/Lecture 1 - Welcome _ Stanford CS229 - Machine Learning (Autumn 2018).mp4 217.4 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 9 - Policy Gradient II.mp4 217.4 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 12 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 216.0 MB
- MIT - Artificial Intelligence (6.034)/14. Learning - Sparse Spaces, Phonology.mp4 215.6 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 19.mp4 215.6 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 5.mp4 212.8 MB
- Advanced Algorithms (COMPSCI 224)/Advanced Algorithms (COMPSCI 224), Lecture 22.mp4 212.1 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 4 - Model Free Control.mp4 211.9 MB
- Self-Driving Cars Lectures/Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars.mp4 211.8 MB
- MIT 6.S191 - Introduction to Deep Learning/Generalizable Autonomy for Robot Manipulation _ MIT 6.S191.mp4 209.8 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning - A Personal Perspective.mp4 209.6 MB
- MIT - Artificial Intelligence (6.034)/12b - Deep Neural Nets.mp4 208.4 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 10 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 207.1 MB
- CS224N - Natural Language Processing with Deep Learning _ Winter 2019/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 4 – Backpropagation.mp4 205.8 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 19 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 205.5 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 18 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 204.3 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 14 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 203.9 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 2 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 203.4 MB
- MIT - Artificial Intelligence (6.034)/Mega-R7. Near Misses, Arch Learning.mp4 203.2 MB
- MIT 7.91J Foundations of Computational and Systems Biology/16. Protein Interaction Networks.mp4 203.2 MB
- Statistics (Full Length Videos)/Statistics Lecture 7.4 - Confidence Interval for the Sample Mean, Population Std Dev -- Unknown.mp4 203.1 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 10 – Grounding _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 201.8 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 13 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 199.7 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 17 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 199.3 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 3 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 198.4 MB
- CS224N - Natural Language Processing with Deep Learning _ Winter 2019/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 10 – Question Answering.mp4 196.9 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 1 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 196.4 MB
- Data Structures/LinkedList 8 remove and find.mp4 196.0 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2018) - Computer Vision Meets Social Networks.mp4 195.6 MB
- CS224N - Natural Language Processing with Deep Learning _ Winter 2019/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 2 – Word Vectors and Word Senses.mp4 195.4 MB
- Machine Learning with Python/Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13.mp4 195.1 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 8 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 193.6 MB
- Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon/Lecture 30. In-memory Processing - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 191.3 MB
- CS224N - Natural Language Processing with Deep Learning _ Winter 2019/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 3 – Neural Networks.mp4 190.9 MB
- C++ Tutorial/C++ Tutorial 10 - Object Oriented Programming.mp4 190.7 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Reinforcement Learning.mp4 187.4 MB
- Self-Driving Cars Lectures/Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars.mp4 185.4 MB
- Machine Learning with Python/Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40.mp4 185.4 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 22 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 183.6 MB
- Data Structures/LinkedList 11 Iterators.mp4 179.6 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2018) - Convolutional Neural Networks.mp4 179.0 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 9 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 178.3 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 7 - Imitation Learning.mp4 175.2 MB
- MIT 7.91J Foundations of Computational and Systems Biology/13. Predicting Protein Structure.mp4 173.3 MB
- CS224N - Natural Language Processing with Deep Learning _ Winter 2019/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 1 – Introduction and Word Vectors.mp4 173.0 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 7 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 169.6 MB
- Self-Driving Cars Lectures/Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars.mp4 168.0 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2018) - Introduction to Deep Learning.mp4 167.9 MB
- Data Structures/LinkedList 5 addLast().mp4 167.0 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 6 - CNNs and Deep Q Learning.mp4 163.3 MB
- Berkeley CS 162 Operating Systems/Lecture 13. Disk_SSDs, File Systems (Part 1) (CS 162, Fall 2013, UC Berkeley).mp4 163.0 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 17 - COPS, Causal Consistency.mp4 163.0 MB
- Statistics (Full Length Videos)/Statistics Lecture 7.3 - Confidence Interval for the Sample Mean, Population Std Dev -- Known.mp4 162.9 MB
- Statistics (Full Length Videos)/Statistics Lecture 6.4 - Sampling Distributions Statistics. Using Samples to Approx. Populations.mp4 162.0 MB
- MIT 6.832 Underactuated Robotics, Spring 2009/Lecture 23 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 161.2 MB
- Berkeley CS 162 Operating Systems/Lecture 10. Caches and TLBs (CS 162, Fall 2013, UC Berkeley).mp4 159.6 MB
- Berkeley CS 162 Operating Systems/Lecture 06. Readers -Writers Problem, Working in Teams (CS 162, Fall 2013, UC Berkeley).mp4 157.3 MB
- MIT - Artificial Intelligence (6.034)/16. Learning - Support Vector Machines.mp4 157.1 MB
- Berkeley CS 162 Operating Systems/Lecture 12. Kernel_User, I_O (CS 162, Fall 2013, UC Berkeley).mp4 155.8 MB
- NA/CSS Crash Course For Absolute Beginners.mp4 155.2 MB
- CS224N - Natural Language Processing with Deep Learning _ Winter 2019/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 9 – Practical Tips for Projects.mp4 154.3 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 16 - Cache Consistency - Memcached at Facebook.mp4 154.1 MB
- Machine Learning with Python/Testing Assumptions - Practical Machine Learning Tutorial with Python p.12.mp4 154.0 MB
- Berkeley CS 162 Operating Systems/Lecture 14. File Systems (Part 2) (CS 162, Fall 2013, UC Berkeley).mp4 152.8 MB
- Stanford CS224U - Natural Language Understanding _ Spring 2019/Lecture 4 – Word Vectors 3 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 152.5 MB
- MIT 6.S191 - Introduction to Deep Learning/Neural Rendering _ MIT 6.S191.mp4 151.6 MB
- Berkeley CS 162 Operating Systems/Lecture 21. Security I - Key Security and Cryptographic Mechanisms (CS 162, Fall 2013, UC Berkeley).mp4 150.6 MB
- Self-Driving Cars Lectures/Drago Anguelov (Waymo) - MIT Self-Driving Cars.mp4 149.4 MB
- Self-Driving Cars Lectures/Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars.mp4 148.7 MB
- Self-Driving Cars Lectures/Self-Driving Cars - State of the Art (2019).mp4 148.4 MB
- Berkeley CS 162 Operating Systems/Lecture 04. Synchronization, Atomic Operations, Locks (CS 162, Fall 2013, UC Berkeley).mp4 147.5 MB
- Berkeley CS 162 Operating Systems/Lecture 07. Language Support for Concurrent Programming, Deadlocks (CS 162, Fall 2013, UC Berkeley).mp4 146.8 MB
- Machine Learning with Python/K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14.mp4 145.7 MB
- Berkeley CS 162 Operating Systems/Lecture 09. Address Translation (CS 162, Fall 2013, UC Berkeley).mp4 145.5 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 13 - Spanner.mp4 144.6 MB
- CS224N - Natural Language Processing with Deep Learning _ Winter 2019/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 6 – Language Models and RNNs.mp4 143.7 MB
- Berkeley CS 162 Operating Systems/Lecture 20. Why Systems Fail and What We Can Do About It (CS 162, Fall 2013, UC Berkeley).mp4 143.6 MB
- Reinforcement Learning/Creating A Reinforcement Learning (RL) Environment - Reinforcement Learning p.4.mp4 143.2 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 5 - Value Function Approximation.mp4 141.3 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 20 - Blockstack.mp4 141.0 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2019) - Image Domain Transfer (NVIDIA).mp4 139.9 MB
- CS224N - Natural Language Processing with Deep Learning _ Winter 2019/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 5 – Dependency Parsing.mp4 139.4 MB
- Berkeley CS 162 Operating Systems/Lecture 11. Page Allocation and Replacement (CS 162, Fall 2013, UC Berkeley).mp4 139.0 MB
- Berkeley CS 162 Operating Systems/Lecture 17. TCP, Flow Control, Reliability (CS 162, Fall 2013, UC Berkeley).mp4 138.8 MB
- Berkeley CS 162 Operating Systems/Lecture 15. Key Value Storage, Network Protocols (CS 162, Fall 2013, UC Berkeley).mp4 137.0 MB
- MIT 6.003 Signals and Systems, Fall 2011/17. Discrete-Time (DT) Frequency Representations.mp4 136.8 MB
- MIT 7.91J Foundations of Computational and Systems Biology/1. Introduction to Computational and Systems Biology.mp4 135.6 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 16 - Monte Carlo Tree Search.mp4 135.2 MB
- NA/MIT 6.S094 - Computer Vision.mp4 135.0 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 2 - Given a Model of the World.mp4 134.7 MB
- Machine Learning with Python/TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14.mp4 134.4 MB
- Berkeley CS 162 Operating Systems/Lecture 16. Layering (CS 162, Fall 2013, UC Berkeley).mp4 133.6 MB
- MIT - Artificial Intelligence (6.034)/9. Constraints - Visual Object Recognition.mp4 133.5 MB
- Berkeley CS 162 Operating Systems/Lecture 05. Semaphores, Conditional Variables (CS 162, Fall 2013, UC Berkeley).mp4 133.2 MB
- Machine Learning with Python/Running the Network - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.6.mp4 133.2 MB
- MIT 6.S191 - Introduction to Deep Learning/Convolutional Neural Networks _ MIT 6.S191.mp4 132.3 MB
- Berkeley CS 162 Operating Systems/Lecture 08. Thread Scheduling (CS 162, Fall 2013, UC Berkeley).mp4 131.9 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 15 - Batch Reinforcement Learning.mp4 131.9 MB
- Data Structures/Trees 6 recursive add.mp4 131.8 MB
- MIT 6.003 Signals and Systems, Fall 2011/4. Continuous-Time (CT) Systems.mp4 131.3 MB
- Berkeley CS 162 Operating Systems/Lecture 22. Security II - Host Compromise & Denial of Service (CS 162, Fall 2013, UC Berkeley).mp4 131.0 MB
- MIT - Artificial Intelligence (6.034)/Mega-R5. Support Vector Machines.mp4 130.9 MB
- CS224N - Natural Language Processing with Deep Learning _ Winter 2019/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 7 – Vanishing Gradients, Fancy RNNs.mp4 130.5 MB
- Statistics (Full Length Videos)/Statistics Lecture 8.5 - Hypothesis Testing for Population Mean. Population Std Dev is Unknown..mp4 130.0 MB
- MIT 6.003 Signals and Systems, Fall 2011/18. Discrete-Time (DT) Fourier Representations.mp4 129.7 MB
- MIT 6.003 Signals and Systems, Fall 2011/11. Continuous-Time (CT) Frequency Response and Bode Plot.mp4 129.6 MB
- MIT 6.003 Signals and Systems, Fall 2011/8. Convolution.mp4 129.5 MB
- MIT - Artificial Intelligence (6.034)/23. Model Merging, Cross-Modal Coupling, Course Summary.mp4 129.0 MB
- Berkeley CS 162 Operating Systems/Lecture 18. Transactions (CS 162, Fall 2013, UC Berkeley).mp4 128.8 MB
- MIT 6.003 Signals and Systems, Fall 2011/21. Sampling.mp4 128.3 MB
- CS224N - Natural Language Processing with Deep Learning _ Winter 2019/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 8 – Translation, Seq2Seq, Attention.mp4 127.8 MB
- CS234 - Reinforcement Learning _ Winter 2019/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 1 - Introduction.mp4 127.7 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 14 - Optimistic Concurrency Control.mp4 127.0 MB
- Data Structures/Hashes 1 Introduction.mp4 126.6 MB
- MIT 6.003 Signals and Systems, Fall 2011/19. Relations Among Fourier Representations.mp4 126.2 MB
- MIT 6.003 Signals and Systems, Fall 2011/13. Continuous-Time (CT) Feedback and Control, Part 2.mp4 126.1 MB
- Django Tutorials/Python Django Tutorial - Deploying Your Application (Option #1) - Deploy to a Linux Server.mp4 125.9 MB
- MIT 6.003 Signals and Systems, Fall 2011/20. Applications of Fourier Transforms.mp4 125.2 MB
- Java Algorithms/Solving Programming Problems 2.mp4 125.0 MB
- MIT 6.003 Signals and Systems, Fall 2011/15. Fourier Series.mp4 124.5 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 18 - Fork Consistency, Certificate Transparency.mp4 123.6 MB
- Statistics (Full Length Videos)/Statistics Lecture 8.4 - Hypothesis Testing for Population Mean. Population Std Dev is Known..mp4 123.2 MB
- MIT 6.003 Signals and Systems, Fall 2011/9. Frequency Response.mp4 122.9 MB
- Data Structures/Bloom Filters.mp4 122.8 MB
- MIT 6.003 Signals and Systems, Fall 2011/1. Signals and Systems.mp4 121.6 MB
- Data Structures/Red Black Tree 5 checking violations in the tree.mp4 121.4 MB
- Statistics (Full Length Videos)/Statistics Lecture 4.5 - Probability of Complementary Events with 'At Least One'.mp4 121.2 MB
- MIT 6.003 Signals and Systems, Fall 2011/14. Fourier Representations.mp4 120.9 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/13. Machine Learning for Mammography.mp4 120.7 MB
- Reinforcement Learning/Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.6.mp4 119.7 MB
- MIT 6.003 Signals and Systems, Fall 2011/5. Z Transform.mp4 119.5 MB
- MIT 6.003 Signals and Systems, Fall 2011/3. Feedback, Poles, and Fundamental Modes.mp4 119.4 MB
- MIT - Artificial Intelligence (6.034)/8. Constraints - Search, Domain Reduction.mp4 119.1 MB
- Data Structures/Red Black Tree 7 left rotate.mp4 118.5 MB
- Statistics (Full Length Videos)/Statistics Lecture 1.3 - Exploring Categories of Data, Levels of Measurement.mp4 118.4 MB
- MIT 6.003 Signals and Systems, Fall 2011/25. Audio CD.mp4 117.2 MB
- Data Structures/Heaps 3 TrickleUp.mp4 116.6 MB
- Machine Learning with Python/Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28.mp4 115.7 MB
- MIT 6.003 Signals and Systems, Fall 2011/2. Discrete-Time (DT) Systems.mp4 115.1 MB
- MIT 6.003 Signals and Systems, Fall 2011/23. Modulation, Part 1.mp4 115.0 MB
- MIT 6.003 Signals and Systems, Fall 2011/12. Continuous-Time (CT) Feedback and Control, Part 1.mp4 113.2 MB
- Machine Learning with Python/Using More Data - Deep Learning with Neural Networks and TensorFlow part 8.mp4 112.8 MB
- Data Structures/Java 1 ObjectOrientedProgramming.mp4 112.5 MB
- Machine Learning with Python/RNN Example in Tensorflow - Deep Learning with Neural Networks 11.mp4 112.5 MB
- NA/HTML Crash Course For Absolute Beginners.mp4 112.4 MB
- Data Structures/Hashes 11 the hash class.mp4 112.0 MB
- Machine Learning with Python/SVM Optimization - Practical Machine Learning Tutorial with Python p.27.mp4 111.9 MB
- MIT 6.003 Signals and Systems, Fall 2011/7. Discrete Approximation of Continuous-Time Systems.mp4 111.8 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT Introduction to Deep Learning _ 6.S191.mp4 111.5 MB
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019/15. Causal Inference, Part 2.mp4 111.4 MB
- Data Structures/Stacks and Queues 3 Using arrays to write stacks and queues.mp4 110.9 MB
- MIT 6.003 Signals and Systems, Fall 2011/16. Fourier Transform.mp4 109.9 MB
- Statistics (Full Length Videos)/Statistics Lecture 5.4 - Finding Mean and Standard Deviation of a Binomial Probability Distribution.mp4 109.8 MB
- MIT 6.003 Signals and Systems, Fall 2011/22. Sampling and Quantization.mp4 109.7 MB
- Data Structures/Hashes 18 KeyIterator.mp4 109.4 MB
- MIT 6.S191 - Introduction to Deep Learning/Recurrent Neural Networks _ MIT 6.S191.mp4 106.9 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.3.2 Linear Combinations.mp4 106.1 MB
- Data Structures/LinkedList 7 removeLast().mp4 104.4 MB
- MIT 6.003 Signals and Systems, Fall 2011/6. Laplace Transform.mp4 104.1 MB
- C++ Tutorial/C++ Tutorial 4 - Exception Handling & Looping.mp4 101.1 MB
- Data Structures/LinkedList 6 removeFirst().mp4 99.5 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2019) - Convolutional Neural Networks.mp4 99.4 MB
- Data Structures/Trees 8 Remove.mp4 98.9 MB
- Machine Learning with Python/Training_Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7.mp4 98.5 MB
- Data Structures/Java 3 Introduction to Generic Programming.mp4 98.3 MB
- Data Structures/Java 4 Parameterized Types.mp4 98.2 MB
- MIT 6.003 Signals and Systems, Fall 2011/24. Modulation, Part 2.mp4 97.2 MB
- NA/Swift for TensorFlow - The Next-Generation Machine Learning Framework (TF Dev Summit '19).mp4 97.2 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Reinforcement Learning.mp4 96.8 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Generative Modeling.mp4 96.7 MB
- Data Structures/Heaps 4 TrickleDown.mp4 95.3 MB
- Software Engineering/Configuration Management.mp4 95.2 MB
- MIT 6.S191 - Introduction to Deep Learning/Reinforcement Learning _ MIT 6.S191.mp4 94.3 MB
- Discrete Math I (Entire Course)/Discrete Math - 4.2.4 Algorithms for Integer Operations.mp4 94.2 MB
- MIT 6.S191 - Introduction to Deep Learning/Neurosymbolic AI _ MIT 6.S191.mp4 93.6 MB
- MIT 6.S191 - Introduction to Deep Learning/Deep Generative Modeling _ MIT 6.S191.mp4 93.6 MB
- Data Structures/Java 2 ComparableGenerics.mp4 93.5 MB
- MIT 6.824 Distributed Systems (Spring 2020)/Lecture 19 - Bitcoin.mp4 93.3 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2019) - Introduction to Deep Learning.mp4 93.2 MB
- Machine Learning with Python/Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5.mp4 92.5 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Generative Modeling.mp4 92.4 MB
- Data Structures/Red Black Tree 4 - Add methods.mp4 92.2 MB
- Data Structures/LinkedList 12 Double Linked Lists.mp4 92.1 MB
- Django Tutorials/Python Django Tutorial - Deploying Your Application (Option #2) - Deploy using Heroku.mp4 91.8 MB
- Data Structures/Hashes 13 Constructor for a chained hash..mp4 91.3 MB
- Software Engineering/Cohesion and Coupling.mp4 91.2 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2019) - Visualization for Machine Learning (Google Brain).mp4 90.3 MB
- UML 2.0 Tutorial/UML 2 Sequence Diagrams.mp4 89.9 MB
- MIT 6.S191 - Introduction to Deep Learning/Machine Learning for Scent _ MIT 6.S191.mp4 89.3 MB
- Operating System/Scheduling Algorithms – Solved Problems.mp4 88.9 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Learning Limitations and New Frontiers.mp4 88.8 MB
- Data Structures/Hashes 10 Rehashing.mp4 88.4 MB
- Data Structures/Hashes 6 Make an integer positive.mp4 88.1 MB
- Machine Learning with Python/Reading Files - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.2.mp4 87.6 MB
- Data Structures/Hashes 8 Open Addressing.mp4 86.8 MB
- Django Tutorials/Python Django Tutorial - Full-Featured Web App Part 6 - User Registration.mp4 86.1 MB
- Data Structures/Complexity 1 Introduction to complexity.mp4 85.5 MB
- Calculus I (Entire Course)/Calculus 4.2.3 The Approximate Area of a Plane Region.mp4 85.2 MB
- Linear Algebra (Entire Course)/Linear Algebra 2.2.3 Elementary Matrices And An Algorithm for Finding A Inverse.mp4 84.8 MB
- Statistics (Full Length Videos)/Statistics Lecture 7.5 - Confidence Intervals for Variance and Std Dev. Chi-Squared Distribution..mp4 84.1 MB
- Software Engineering/Software Development Life Cycle.mp4 84.0 MB
- Java Algorithms/Java Recursion.mp4 83.7 MB
- MIT 6.S191 - Introduction to Deep Learning/Deep Learning New Frontiers _ MIT 6.S191.mp4 83.2 MB
- C++ Tutorial/Qt Tutorial 5 - Finish Paint App.mp4 82.5 MB
- Django Tutorials/Python Django Tutorial - Full-Featured Web App Part 10 - Create, Update, and Delete Posts.mp4 82.1 MB
- Java Algorithms/Java Binary Search Tree.mp4 81.4 MB
- Data Structures/Hashes 17 resize.mp4 81.0 MB
- Software Engineering/Scope of CASE Tools.mp4 80.3 MB
- Data Structures/LinkedList 4 addFirst().mp4 79.7 MB
- Machine Learning with Python/Installing the GPU version of TensorFlow for making use of your CUDA GPU.mp4 79.3 MB
- Software Engineering/Requirement Elicitation Techniques.mp4 78.7 MB
- Machine Learning with Python/Clustering Introduction - Practical Machine Learning Tutorial with Python p.34.mp4 78.0 MB
- Machine Learning with Python/Custom K Means - Practical Machine Learning Tutorial with Python p.37.mp4 77.7 MB
- Machine Learning with Python/Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3.mp4 77.7 MB
- Software Engineering/Function Point.mp4 77.6 MB
- MIT 6.003 Signals and Systems, Fall 2011/10. Feedback and Control.mp4 76.4 MB
- Data Structures/Hashes 15 add() and remove() methods.mp4 76.0 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2019) - Recurrent Neural Networks.mp4 75.9 MB
- Operating System/Scheduling Algorithms - Round Robin Scheduling.mp4 75.6 MB
- Data Structures/Heaps 5 HeapSort.mp4 75.5 MB
- Data Structures/Trees 9 Introduction to rotations.mp4 75.3 MB
- Operating System/Scheduling Criteria.mp4 75.2 MB
- Machine Learning with Python/Neural Network Model - Deep Learning with Neural Networks and TensorFlow.mp4 74.6 MB
- Data Structures/Hashes 9 Chaining.mp4 74.4 MB
- Data Structures/LinkedList 2 Nodes and Size.mp4 74.4 MB
- Reinforcement Learning/Deep Q Learning w_ DQN - Reinforcement Learning p.5.mp4 74.4 MB
- Software Engineering/Requirement Engineering Process.mp4 74.1 MB
- Machine Learning with Python/Installing CPU and GPU TensorFlow on Windows.mp4 73.6 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2019) - Biologically Inspired Neural Networks (IBM).mp4 73.4 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2018) - Beyond Deep Learning - Learning+Reasoning.mp4 73.4 MB
- Machine Learning with Python/Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42.mp4 72.6 MB
- Machine Learning with Python/K Means with Titanic Dataset - Practical Machine Learning Tutorial with Python p.36.mp4 72.5 MB
- Calculus I (Entire Course)/Calculus 4.5.2 Change of Variables for Indefinite Integrals.mp4 72.4 MB
- Software Engineering/Testing Levels.mp4 71.5 MB
- Software Engineering/Object Oriented Design.mp4 71.3 MB
- Software Engineering/Project Scheduling.mp4 71.3 MB
- Data Structures/Trees 10 Rotations.mp4 71.0 MB
- Software Engineering/Software Documentation.mp4 70.7 MB
- UML 2.0 Tutorial/UML 2 State Machine Diagrams.mp4 70.1 MB
- Discrete Math I (Entire Course)/Discrete Math - 7.1.2 Discrete Probability Practice.mp4 70.1 MB
- Software Engineering/Project Estimation.mp4 70.0 MB
- Data Structures/Trees 3 Traversal.mp4 69.4 MB
- Software Engineering/Waterfall Model.mp4 68.9 MB
- Machine Learning with Python/Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4.mp4 68.8 MB
- Data Structures/Sorts 1 Introduction to sorts.mp4 68.8 MB
- Data Structures/Red Black Tree 6 The Rotate method.mp4 68.7 MB
- Software Engineering/Graphical User Interface.mp4 68.6 MB
- Django Tutorials/Python Django Tutorial - Full-Featured Web App Part 3 - Templates.mp4 68.5 MB
- C++ Tutorial/Qt Tutorial 2 - C++ Calculator.mp4 68.3 MB
- Data Structures/Sorts 7 Merge Sort Code.mp4 68.3 MB
- Data Structures/Red Black Tree 1 The Rules.mp4 68.1 MB
- Bioinformatics in Python/Rosalind Problems - GC Content, FASTA File Format, Data Processing..mp4 68.0 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2018) - Issues in Image Classification.mp4 67.8 MB
- Software Engineering/Project Management Tools.mp4 66.9 MB
- Reinforcement Learning/Q Learning Algorithm and Agent - Reinforcement Learning p.2.mp4 66.5 MB
- Machine Learning with Python/Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1.mp4 65.9 MB
- Discrete Math I (Entire Course)/Discrete Math - 6.3.2 Counting Rules Practice.mp4 65.9 MB
- Bioinformatics in Python/Bioinformatics in Python - DNA Toolkit. Part 8.2 - Code refactoring into a bio_seq class..mp4 65.7 MB
- Machine Learning with Python/Running our Network - Deep Learning with Neural Networks and TensorFlow.mp4 65.5 MB
- Django Tutorials/Python Django Tutorial - Full-Featured Web App Part 11 - Pagination.mp4 65.5 MB
- C++ Tutorial/Qt Tutorial - C++ Notepad App.mp4 65.1 MB
- Data Structures/LinkedList 13 Circular Linked Lists.mp4 64.9 MB
- Data Structures/Sorts 6 Merge Sort.mp4 64.9 MB
- Calculus I (Entire Course)/Calculus 3.7.2 Optimization Practice.mp4 64.2 MB
- Operating System/First Come First Served Scheduling (Solved Problem 1).mp4 64.2 MB
- Calculus I (Entire Course)/Calculus 5.7.1 Inverse Trigonometric Functions.mp4 64.1 MB
- Data Structures/Sorts 12 Sort Summary.mp4 64.0 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.2.3 Proving Set Identities.mp4 63.7 MB
- Software Engineering/Structured Evolutionary Prototyping Model.mp4 63.4 MB
- Operating System/Issues in RPC & How They're Resolved.mp4 63.3 MB
- Data Structures/LinkedList 1 Introduction.mp4 62.0 MB
- Software Engineering/Software Project Management Activities.mp4 61.8 MB
- Machine Learning with Python/Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3.mp4 61.4 MB
- Linear Algebra (Entire Course)/Linear Algebra 2.1.2 Matrix Operations - Multiplication and Transpose.mp4 61.2 MB
- Data Structures/Sorts 10 Quick Sort Code.mp4 61.1 MB
- Machine Learning with Python/Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24.mp4 61.0 MB
- Reinforcement Learning/Q-Learning Agent Analysis - Reinforcement Learning p.3.mp4 61.0 MB
- Calculus I (Entire Course)/Calculus 4.4.1 The Fundamental Theorem of Calculus.mp4 61.0 MB
- NA/MongoDB In 30 Minutes.mp4 60.6 MB
- Software Engineering/Data Flow Diagram.mp4 59.8 MB
- Calculus I (Entire Course)/Calculus 3.6.1 A Summary of Curve Sketching.mp4 59.7 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.4.2 Recurrence Relations.mp4 59.6 MB
- Discrete Math I (Entire Course)/Discrete Math - 8.1.1 Modeling with Recurrence Relations.mp4 59.6 MB
- Data Structures/AVL Tree 7 complete example of adding data to an AVL tree..mp4 59.5 MB
- Operating System/Multilevel Queue Scheduling Algorithm.mp4 59.5 MB
- Discrete Math I (Entire Course)/Discrete Math - 9.5.1 Equivalence Relations.mp4 58.4 MB
- Data Structures/Red Black Tree 3 - Classes.mp4 58.3 MB
- Django Tutorials/Python Django Tutorial - Full-Featured Web App Part 5 - Database and Migrations.mp4 58.2 MB
- Data Structures/Hashes 14 Review of constructors.mp4 57.7 MB
- Java Algorithms/Java Quick Sort.mp4 57.4 MB
- Software Engineering/Overview of Software Engineering.mp4 57.2 MB
- Bioinformatics in Python/Rosalind Problems - Python Village.mp4 57.1 MB
- Software Engineering/User Interface Golden Rules.mp4 56.9 MB
- Calculus I (Entire Course)/Calculus 5.2.1 The Log Rule for Integration.mp4 56.6 MB
- Bioinformatics in Python/Bioinformatics in Python - DNA Toolkit. Part 8.1 - Code refactoring into a bio_seq class..mp4 56.5 MB
- Discrete Math I (Entire Course)/Discrete Math - 5.3.1 Revisiting Recursive Definitions.mp4 56.5 MB
- Data Structures/Complexity 3 Some examples of big-Oh notation.mp4 56.3 MB
- Software Engineering/Project Risk Management.mp4 56.1 MB
- Discrete Math I (Entire Course)/Discrete Math - 9.3.1 Matrix Representations of Relations and Properties.mp4 56.1 MB
- Data Structures/Java 6 Exceptions.mp4 55.9 MB
- Calculus I (Entire Course)/Calculus 3.3.1 Increasing and Decreasing Intervals.mp4 55.7 MB
- Software Engineering/Programming Style.mp4 55.7 MB
- Data Structures/Hashes 12 Review of the hash element inner class.mp4 55.3 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning Limitations and New Frontiers.mp4 55.2 MB
- Calculus II (Entire Course)/Calculus II - 8.4.1 Trigonometric Substitution.mp4 55.0 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.1.2 Solve Systems of Linear Equations in Augmented Matrices Using Row Operations.mp4 55.0 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.5.2 Translating with Nested Quantifiers.mp4 54.7 MB
- C++ Tutorial/C++ Tutorial 3 - Pointers & Functions.mp4 54.6 MB
- Machine Learning with Python/How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8.mp4 54.6 MB
- Software Engineering/Project Execution and Monitoring.mp4 54.3 MB
- Machine Learning with Python/Resizing Data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.4.mp4 54.3 MB
- Java Algorithms/Linked List in Java 2.mp4 54.2 MB
- Machine Learning with Python/Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6.mp4 53.7 MB
- Data Structures/LinkedList 10 Testing the list.mp4 53.7 MB
- Calculus I (Entire Course)/Calculus 3.7.1 Optimization Problems.mp4 53.5 MB
- Operating System/Scheduling Algorithms - Shortest Job First (SJF).mp4 53.5 MB
- Data Structures/Trees 5 Node Class.mp4 53.1 MB
- Discrete Math I (Entire Course)/Discrete Math - 11.1.1 Introduction to Trees.mp4 53.0 MB
- Software Engineering/Software Re engineering.mp4 52.8 MB
- C++ Tutorial/Qt Tutorial 3 - Qt Charts.mp4 52.6 MB
- Calculus I (Entire Course)/Calculus 2.1.1 Find the Slope of a Tangent Line.mp4 52.5 MB
- Machine Learning with Python/Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39.mp4 52.5 MB
- Software Engineering/Functional Programming.mp4 52.4 MB
- Data Structures/AVL Tree 4 recursive add for an AVL tree.mp4 52.2 MB
- Machine Learning with Python/Soft Margin SVM and Kernels with CVXOPT - Practical Machine Learning Tutorial with Python p.32.mp4 52.2 MB
- Calculus I (Entire Course)/Calculus 5.1.1 Properties of the Natural Logarithmic Function.mp4 52.2 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.2.2 Solving Logic Puzzles.mp4 52.1 MB
- Linear Algebra (Entire Course)/Linear Algebra 3.2.1 Properties of Determinants.mp4 52.1 MB
- Data Structures/k-mer algorithms - Compare and Swap.mp4 52.0 MB
- Software Engineering/Command Line Interface (CLI).mp4 51.8 MB
- Data Structures/Sorts 3 Insertion Sort.mp4 51.7 MB
- Data Structures/Heaps 2 Add Remove.mp4 51.6 MB
- Operating System/Priority Scheduling (Solved Problem 1).mp4 51.6 MB
- C++ Tutorial/C++ Tutorial 8 - Recursion Algorithms & Overloaded Functions.mp4 51.6 MB
- Bioinformatics in Python/Bioinformatics in Python - DNA Toolkit. Part 9 - RNA, Helper functions..mp4 51.3 MB
- Discrete Math I (Entire Course)/Discrete Math - 4.1.2 Modular Arithmetic.mp4 51.3 MB
- Machine Learning with Python/Preprocessing data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.5.mp4 51.2 MB
- Software Engineering/Maintenance Activities.mp4 51.2 MB
- C++ Tutorial/C++ Tutorial.mp4 50.8 MB
- C++ Tutorial/C++ Tutorial 2 - Conditionals, Arrays, Vectors, Strings, Loops.mp4 50.7 MB
- UML 2.0 Tutorial/UML 2 Component Diagrams.mp4 50.4 MB
- Data Structures/AVL Tree 6 Rebalancing AVL trees.mp4 50.4 MB
- Machine Learning with Python/Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5.mp4 50.3 MB
- Calculus II (Entire Course)/Calculus II - 6.2.2 Models of Exponential Growth and Decay.mp4 50.1 MB
- Data Structures/Heaps 1 Introduction and Tree levels.mp4 50.1 MB
- Discrete Math I (Entire Course)/Discrete Math - 5.1.1 Proof Using Mathematical Induction - Summation Formulae.mp4 50.0 MB
- Django Tutorials/Python Django Tutorial - Full-Featured Web App Part 8 - User Profile and Picture.mp4 49.9 MB
- Machine Learning with Python/SVM Training - Practical Machine Learning Tutorial with Python p.26.mp4 49.7 MB
- Data Structures/Red Black Trees 2 Example of building a tree.mp4 49.4 MB
- Operating System/Operating System Generation and System Boot.mp4 49.4 MB
- Software Engineering/Project Communication Management.mp4 49.4 MB
- Calculus I (Entire Course)/Calculus 3.6.2 Curve Sketching - Full Practice.mp4 49.3 MB
- Software Engineering/Component Reusability.mp4 48.5 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.6.1 Matrices and Matrix Operations.mp4 48.2 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.1.2 Implications Converse, Inverse, Contrapositive and Biconditionals.mp4 48.0 MB
- Bioinformatics in Python/Bioinformatics in Python - Development Tools Setup..mp4 47.9 MB
- Machine Learning with Python/Programming R Squared - Practical Machine Learning Tutorial with Python p.11.mp4 47.7 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.1.1 Propositions, Negations, Conjunctions and Disjunctions.mp4 47.5 MB
- Calculus II (Entire Course)/Calculus II - 9.4.1 The Direct Comparison Test.mp4 47.5 MB
- C++ Tutorial/C++ Tutorial 16 - C++ Threads.mp4 47.4 MB
- Django Tutorials/Python Django Tutorial - Full-Featured Web App Part 7 - Login and Logout System.mp4 47.4 MB
- Discrete Math I (Entire Course)/Discrete Math - 9.1.3 Combining Relations.mp4 47.2 MB
- C++ Tutorial/C++ Tutorial 12 - Operator Overloading & File I_O.mp4 47.2 MB
- Operating System/fork() and exec() System Calls.mp4 47.1 MB
- Operating System/Threading Issues [fork() & exec() System Calls].mp4 47.0 MB
- Calculus I (Entire Course)/Calculus 4.2.4 Finding Area By The Limit Definition.mp4 46.9 MB
- Reinforcement Learning/Q Learning Intro_Table - Reinforcement Learning p.1.mp4 46.6 MB
- Calculus II (Entire Course)/Calculus II - 7.3.1 Finding Volume Using the Shell Method.mp4 46.5 MB
- Software Engineering/Software Validation and Verification.mp4 46.5 MB
- Operating System/Round Robin Scheduling (Turnaround Time & Waiting Time).mp4 46.5 MB
- Software Engineering/Testing Documentation.mp4 46.4 MB
- Calculus I (Entire Course)/Calculus 5.5.1 Exponential Functions with Bases Other than e.mp4 46.3 MB
- Discrete Math I (Entire Course)/Discrete Math - 6.4.1 The Binomial Theorem.mp4 46.2 MB
- Java Algorithms/Java Sort Algorithm.mp4 46.1 MB
- Calculus II (Entire Course)/Calculus II - 8.3.2 Integrals Involving Powers of Secant and Tangent.mp4 46.0 MB
- Calculus I (Entire Course)/Calculus 2.2.1 Basic Differentiation Rules.mp4 45.9 MB
- Operating System/Operation on Processes – Process Creation.mp4 45.9 MB
- Machine Learning with Python/How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9.mp4 45.9 MB
- Calculus I (Entire Course)/Calculus 2.4.1 The Chain Rule.mp4 45.7 MB
- Java Algorithms/Solving Programming Problems.mp4 45.5 MB
- Operating System/Scheduling Algorithms - Priority Scheduling.mp4 45.5 MB
- Calculus II (Entire Course)/Calculus II - 7.2.2 Finding Volume Using the Washer Method.mp4 45.3 MB
- Django Tutorials/Python Django Tutorial - Full-Featured Web App Part 9 - Update User Profile.mp4 45.3 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.1.2 Set Relationships.mp4 45.1 MB
- Data Structures/LinkedList 9 peek().mp4 45.0 MB
- Machine Learning with Python/Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17.mp4 44.9 MB
- Machine Learning with Python/Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31.mp4 44.9 MB
- Machine Learning with Python/Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2.mp4 44.8 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.4.3 Negating and Translating with Quantifiers.mp4 44.8 MB
- Software Engineering/Spiral Model.mp4 44.7 MB
- Bioinformatics in Python/Rosalind Problems - Fibonacci, Rabbits and Recurrence Relations..mp4 44.7 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.6.1 Rules of Inference for Propositional Logic.mp4 44.5 MB
- C++ Tutorial/C++ Tutorial 19 - C++ Regular Expressions.mp4 44.5 MB
- Operating System/Message Passing Systems (Part 2).mp4 44.4 MB
- Calculus I (Entire Course)/Calculus 1.2.3 Find Limits Graphically and Numerically - The Formal Definition of A Limit.mp4 44.3 MB
- Django Tutorials/Python Django Tutorial - How to Use a Custom Domain Name for Our Application.mp4 44.2 MB
- C++ Tutorial/C++ Tutorial 5 - Strings & Math.mp4 44.2 MB
- Django Tutorials/Python Django Tutorial - Full-Featured Web App Part 13 - Using AWS S3 for File Uploads.mp4 44.0 MB
- C++ Tutorial/C++ Tutorial 9 - Lambda Expressions.mp4 44.0 MB
- Software Engineering/Data Dictionary.mp4 43.9 MB
- Operating System/Virtual Machines.mp4 43.7 MB
- Calculus I (Entire Course)/Calculus 4.1.3 Find Particular Solutions to Differential Equations.mp4 43.6 MB
- Software Engineering/Structured Programming.mp4 43.5 MB
- Data Structures/Sorts 11 Radix Sort.mp4 43.5 MB
- Software Engineering/Entity Relationship Model.mp4 43.4 MB
- C++ Tutorial/C++ Tutorial 6 - Solving Problems.mp4 43.4 MB
- Software Engineering/Critical Path Analysis.mp4 43.3 MB
- Discrete Math I (Entire Course)/Discrete Math - 8.5.1 The Principle of Inclusion Exclusion.mp4 43.3 MB
- C++ Tutorial/C++ Tutorial 7 - Solving Problems.mp4 43.2 MB
- Data Structures/Trees 7 Contains.mp4 43.1 MB
- Statistics (Full Length Videos)/Statistics Lecture 1.1 - The Key Words and Definitions For Elementary Statistics.mp4 43.0 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.4.2 Quantifiers.mp4 43.0 MB
- Calculus II (Entire Course)/Calculus II - 10.4.3 Slope and Tangent Lines of Polar Equations.mp4 42.8 MB
- Discrete Math I (Entire Course)/Discrete Math - 4.3.1 Prime Numbers and Their Properties.mp4 42.6 MB
- Calculus I (Entire Course)/Calculus 1.2.1 Find Limits Graphically and Numerically - Estimate a Limit Numerically or Graphically.mp4 42.6 MB
- Calculus II (Entire Course)/Calculus II - 7.1.2 Finding the Area Between Two Curves.mp4 42.5 MB
- Software Engineering/Software Metrics and Measures.mp4 42.4 MB
- Calculus II (Entire Course)/Calculus II - 7.6.2 Center of Mass of a Planar Lamina.mp4 42.3 MB
- Linear Algebra (Entire Course)/Linear Algebra 4.3.2 The Spanning Set Theorem.mp4 42.2 MB
- Java Algorithms/Big O Notations.mp4 42.2 MB
- Bioinformatics in Python/Bioinformatics in Python - DNA Toolkit. Part 2 - Transcription, Reverse Complement..mp4 42.2 MB
- Linear Algebra (Entire Course)/Linear Algebra 4.2.2 Column Spaces.mp4 42.1 MB
- Data Structures/Hashes 3 Collisions.mp4 42.1 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.8.1 Proof by Cases.mp4 42.1 MB
- Operating System/Multilevel Feedback-Queue Scheduling Algorithm.mp4 42.1 MB
- Calculus II (Entire Course)/Calculus II - 7.2.1 Finding Volume Using the Disk Method.mp4 42.0 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.2.1 Row Reduction and Echelon Forms.mp4 42.0 MB
- Data Structures/Trees 11 Coding Rotations.mp4 42.0 MB
- Linear Algebra (Entire Course)/Linear Algebra 4.1.1 Vector Spaces.mp4 41.9 MB
- Software Engineering/Structured Charts.mp4 41.8 MB
- Java Algorithms/Java Hash Tables 2.mp4 41.6 MB
- Software Engineering/Black Box Testing.mp4 41.4 MB
- C++ Tutorial/Qt Tutorial 4 - C++ Paint App.mp4 41.4 MB
- Calculus II (Entire Course)/Calculus II - 7.5.1 Work, Work, Work.mp4 41.3 MB
- Bioinformatics in Python/Bioinformatics in Python - DNA Toolkit. Part 7 - A search for a real protein from NCBI database..mp4 41.3 MB
- Java Algorithms/Java Hash Tables 3.mp4 41.3 MB
- Calculus I (Entire Course)/Calculus 3.2.2 The Mean Value Theorem.mp4 41.2 MB
- Discrete Math I (Entire Course)/Discrete Math - 5.3.2 Structural Induction.mp4 41.2 MB
- Calculus II (Entire Course)/Calculus II - 9.2.2 The Geometric Series.mp4 41.2 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.5.1 Nested Quantifiers and Negations.mp4 41.0 MB
- Calculus I (Entire Course)/Calculus 2.2.2 Rates of Change.mp4 40.9 MB
- Software Engineering/Software Quality Attributes.mp4 40.7 MB
- Calculus II (Entire Course)/Calculus II - 10.4.1 Polar Coordinates and Coordinate Conversion.mp4 40.6 MB
- Linear Algebra (Entire Course)/Linear Algebra 6.5.1 Least Squares Problems.mp4 40.5 MB
- Calculus II (Entire Course)/Calculus II - 10.3.1 Slope, Tangent Lines, and Concavity of Parametric Equations.mp4 40.5 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2018) - Sequence Modeling with Neural Networks.mp4 40.3 MB
- Calculus I (Entire Course)/Calculus 5.4.1 The Natural Exponential Function.mp4 40.3 MB
- Machine Learning with Python/Deep Learning with Neural Networks and TensorFlow Introduction.mp4 40.2 MB
- Software Engineering/Resource Management.mp4 40.2 MB
- Django Tutorials/Python Django Tutorial - Full-Featured Web App Part 12 - Email and Password Reset.mp4 40.1 MB
- Machine Learning with Python/SVM Parameters - Practical Machine Learning Tutorial with Python p.33.mp4 40.0 MB
- Operating System/Threading Issues (Thread Cancellation).mp4 39.8 MB
- Calculus I (Entire Course)/Calculus 2.1.2 Derivatives Using the Limit Definition.mp4 39.7 MB
- Calculus I (Entire Course)/Calculus 2.5.2 Implicit Differentiation.mp4 39.7 MB
- Calculus I (Entire Course)/Calculus 3.4.4 Putting It All Together.mp4 39.7 MB
- Discrete Math I (Entire Course)/Discrete Math - 7.2.2 Random Variables and the Binomial Distribution.mp4 39.6 MB
- Data Structures/Sorts 5 Shell Sort.mp4 39.5 MB
- Linear Algebra (Entire Course)/Linear Algebra 4.1.2 Subspace of a Vector Space.mp4 39.5 MB
- Django Tutorials/Python Django Tutorial - How to enable HTTPS with a free SSL_TLS Certificate using Let's Encrypt.mp4 39.4 MB
- Software Engineering/Project Estimation Techniques.mp4 39.4 MB
- Discrete Math I (Entire Course)/Discrete Math - 10.2.1 Graph Terminology.mp4 39.4 MB
- Discrete Math I (Entire Course)/Discrete Math - 9.1.2 Properties of Relations.mp4 39.3 MB
- Calculus I (Entire Course)/Calculus 3.5.2 Determine Horizontal Asymptotes of a Function.mp4 39.0 MB
- Calculus I (Entire Course)/Calculus 3.3.2 The First Derivative Test.mp4 39.0 MB
- Machine Learning with Python/Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4.mp4 39.0 MB
- Operating System/Preemptive and Non-Preemptive Scheduling.mp4 39.0 MB
- Calculus I (Entire Course)/Calculus 3.2.1 Rolle’s Theorem.mp4 38.9 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.6.2 Rules of Inference for Quantified Statements.mp4 38.8 MB
- Software Engineering/E-Type Software Evolution.mp4 38.8 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.3.1 “Proving” Logical Equivalences with Truth Tables.mp4 38.7 MB
- Software Engineering/Cyclomatic Complexity Measures.mp4 38.7 MB
- Software Engineering/Halstead’s Complexity Measures.mp4 38.7 MB
- Machine Learning with Python/K Means from Scratch - Practical Machine Learning Tutorial with Python p.38.mp4 38.6 MB
- Data Structures/Sorts 2 Selection Sort.mp4 38.6 MB
- Linear Algebra (Entire Course)/Linear Algebra 5.1.1 Eigenvectors and Eigenvalues.mp4 38.5 MB
- Bioinformatics in Python/Bioinformatics in Python - Intro.mp4 38.5 MB
- Bioinformatics in Python/Bioinformatics in Python - DNA Toolkit. Part 6 - Protein search in a reading frame..mp4 38.4 MB
- Machine Learning with Python/Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19.mp4 38.4 MB
- Calculus I (Entire Course)/Calculus 4.1.1 Antiderivatives.mp4 38.3 MB
- NA/TensorFlow Lite for iOS (Coding TensorFlow).mp4 38.2 MB
- Machine Learning with Python/Handling Non-Numeric Data - Practical Machine Learning Tutorial with Python p.35.mp4 38.0 MB
- Discrete Math I (Entire Course)/Discrete Math - 4.2.3 Conversions Between Binary, Octal and Hexadecimal Expansions.mp4 37.8 MB
- Machine Learning with Python/TensorFlow Basics - Deep Learning with Neural Networks p. 2.mp4 37.8 MB
- Statistics (Full Length Videos)/Statistics Lecture 8.6 - Hypothesis Testing Involving Variance and Standard Deviation..mp4 37.7 MB
- Linear Algebra (Entire Course)/Linear Algebra 4.3.1 Linearly Independent Sets and Bases.mp4 37.7 MB
- Data Structures/Hashes 16 getValue().mp4 37.7 MB
- Calculus I (Entire Course)/Calculus 4.2.1 Sigma Notation.mp4 37.6 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.1.1 Systems of Linear Equations.mp4 37.6 MB
- Software Engineering/Structured English.mp4 37.6 MB
- Software Engineering/V Model.mp4 37.5 MB
- Operating System/Basics of OS (Computer System Operation).mp4 37.4 MB
- Data Structures/AVL Tree 5 checking balance in an AVL tree.mp4 37.3 MB
- Calculus II (Entire Course)/Calculus II - 9.8.2 The Power Series - Finding R and the Interval of Convergence.mp4 37.2 MB
- C++ Tutorial/C++ Tutorial 17 - Sequence Containers.mp4 37.2 MB
- Data Structures/Complexity 2 Big Oh Notation.mp4 37.2 MB
- Discrete Math I (Entire Course)/Discrete Math - 6.3.1 Permutations and Combinations.mp4 37.2 MB
- Bioinformatics in Python/Bioinformatics in Python - DNA Toolkit. Part 3 - GC Content Calculation..mp4 37.2 MB
- Data Structures/Trees and heaps 1 Introduction.mp4 37.0 MB
- Java Algorithms/Linked List in Java.mp4 37.0 MB
- Software Engineering/Need of Software Project Management.mp4 37.0 MB
- Calculus I (Entire Course)/Calculus 5.1.3 The Derivative of the Natural Logarithmic Function.mp4 36.8 MB
- Linear Algebra (Entire Course)/Linear Algebra 4.2.1 Null Spaces.mp4 36.7 MB
- Software Engineering/Rapid Application Development (RAD).mp4 36.7 MB
- Discrete Math I (Entire Course)/Discrete Math - 4.4.1 Solving Linear Congruences Using the Inverse.mp4 36.6 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.4.1 Introduction to Sequences.mp4 36.3 MB
- Calculus I (Entire Course)/Calculus 5.5.2 Differentiate and Integrate with Bases Other than e.mp4 36.2 MB
- Software Engineering/Scrum Development Model.mp4 36.1 MB
- Software Engineering/Software Requirements.mp4 36.1 MB
- Calculus II (Entire Course)/Calculus II - 9.10.1 The Taylor and Maclaurin Series.mp4 36.1 MB
- Calculus I (Entire Course)/Calculus I - 2.6.3 Related Rates - Modeling with Triangles.mp4 36.0 MB
- Calculus I (Entire Course)/Calculus 1.4.1 Continuity on Open Intervals.mp4 36.0 MB
- Machine Learning with Python/Building the Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 2.mp4 36.0 MB
- Operating System/Shortest Job First Scheduling (Solved Problem 1).mp4 35.9 MB
- Calculus II (Entire Course)/Calculus II - 9.9.1 Represent Functions with the Geometric Power Series.mp4 35.8 MB
- Calculus I (Entire Course)/Calculus 3.1.2 Relative Extrema of a Function on an Open Interval.mp4 35.7 MB
- Data Structures/Red Black Tree 9 height.mp4 35.6 MB
- Calculus I (Entire Course)/Calculus 4.3.2 Definite Integrals.mp4 35.6 MB
- Software Engineering/Incremental Model.mp4 35.6 MB
- UML 2.0 Tutorial/UML 2.0 Class Diagrams.mp4 35.6 MB
- Software Engineering/Function Oriented Design.mp4 35.6 MB
- Java Algorithms/Stacks and Queues.mp4 35.5 MB
- Software Engineering/Software Design Approaches.mp4 35.5 MB
- Software Engineering/Software Project Management.mp4 35.5 MB
- Software Engineering/Software User Interface Design.mp4 35.4 MB
- Machine Learning with Python/Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41.mp4 35.4 MB
- Operating System/First Come First Served Scheduling (Solved Problem 2).mp4 35.3 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.3.3 Constructing New Logical Equivalences.mp4 35.1 MB
- Machine Learning with Python/Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4.mp4 34.8 MB
- Calculus II (Entire Course)/Calculus II - 8.5.1 Using Partial Fractions with Linear Factors to Integrate.mp4 34.7 MB
- Calculus II (Entire Course)/Calculus II - 7.7.1 Fluid Pressure and Fluid Force.mp4 34.6 MB
- Discrete Math I (Entire Course)/Discrete Math - 10.2.2 Special Types of Graphs.mp4 34.6 MB
- C++ Tutorial/C++ Tutorial 14 - Templates & Iterators.mp4 34.5 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.8.1 Matrix Transformations.mp4 34.3 MB
- NA/TensorFlow Lite for Android (Coding TensorFlow).mp4 34.1 MB
- Calculus I (Entire Course)/Calculus 4.5.1 Use Pattern Recognition in Indefinite Integrals.mp4 34.1 MB
- Discrete Math I (Entire Course)/Discrete Math - 6.1.1 Counting Rules.mp4 34.1 MB
- Calculus II (Entire Course)/Calculus II - 8.6.1 Using the Trapezoidal Rule to Approximate Integrals.mp4 34.0 MB
- Discrete Math I (Entire Course)/Discrete Math - 9.3.2 Representing Relations Using Digraphs.mp4 33.9 MB
- Calculus II (Entire Course)/Calculus II - 9.9.2 Operations with The Geometric Power Series.mp4 33.9 MB
- Data Structures/Sorts 8 Quick Sort.mp4 33.8 MB
- Data Structures/AVL Tree 3 Adding a node.mp4 33.6 MB
- Calculus I (Entire Course)/Calculus 1.3.1 Evaluating Limits Using Properties of Limits.mp4 33.5 MB
- Calculus II (Entire Course)/Calculus II - 8.8.1 Improper Integrals with Infinite Limits of Integration.mp4 33.4 MB
- Calculus II (Entire Course)/Calculus II - 7.4.1 Finding Arc Length.mp4 33.3 MB
- Calculus II (Entire Course)/Calculus II - 6.4.1 First Order Linear Differential Equations.mp4 33.2 MB
- Operating System/Introduction to Operating System.mp4 33.1 MB
- Operating System/Remote Procedure Calls (RPC).mp4 33.1 MB
- C++ Tutorial/C++ Tutorial 18 - Associative Containers & Container Adapters.mp4 33.0 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.5.1 Homogeneous System Solutions.mp4 33.0 MB
- Calculus II (Entire Course)/Calculus II - 10.2.1 Plane Curves and Parametric Equations.mp4 32.9 MB
- Calculus I (Entire Course)/Calculus 2.3.1 The Product and Quotient Rules.mp4 32.8 MB
- Bioinformatics in Python/Bioinformatics in Python - DNA Toolkit. Part 4 - Translation, Codon Usage..mp4 32.6 MB
- Machine Learning with Python/Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6.mp4 32.4 MB
- Linear Algebra (Entire Course)/Linear Algebra 3.1.2 Co-factor Expansion.mp4 32.2 MB
- Discrete Math I (Entire Course)/Discrete Math - 7.1.1 An Intro to Discrete Probability.mp4 31.9 MB
- Calculus II (Entire Course)/Calculus II - 8.3.1 Integrals Involving Powers of Sine and Cosine.mp4 31.9 MB
- Data Structures/Trees 4 Expression Trees.mp4 31.8 MB
- Data Structures/Hashes 4 Hash Functions for Strings.mp4 31.8 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.2.1 Operations on Sets.mp4 31.7 MB
- Django Tutorials/Python Django Tutorial - Full-Featured Web App Part 2 - Applications and Routes.mp4 31.7 MB
- Data Structures/AVL 1 Introduction.mp4 31.5 MB
- Discrete Math I (Entire Course)/Discrete Math - 4.1.1 Divisibility.mp4 31.4 MB
- Operating System/Basics of OS (I_O Structure).mp4 31.0 MB
- Machine Learning with Python/Why Kernels - Practical Machine Learning Tutorial with Python p.30.mp4 30.9 MB
- MIT 6.S191 - Introduction to Deep Learning/MIT 6.S191 (2018) - Faster ML Development with TensorFlow.mp4 30.8 MB
- Linear Algebra (Entire Course)/Linear Algebra 4.6.1 The Row Space.mp4 30.7 MB
- Linear Algebra (Entire Course)/Linear Algebra 3.1.1 Introduction to Determinants.mp4 30.6 MB
- Linear Algebra (Entire Course)/Linear Algebra 2.2.1 The Inverse of a Matrix.mp4 30.5 MB
- Software Engineering/Cost of Maintenance.mp4 30.5 MB
- Linear Algebra (Entire Course)/Linear Algebra 2.2.2 Solving 2x2 Systems with the Inverse and Inverse Properties.mp4 30.5 MB
- Operating System/Scheduling Algorithms - First Come First Served (FCFS).mp4 30.5 MB
- Operating System/Multithreading Models & Hyperthreading.mp4 30.5 MB
- Calculus II (Entire Course)/Calculus II - 9.6.1 The Ratio Test.mp4 30.4 MB
- Calculus II (Entire Course)/Calculus II - 9.8.1 The Power Series L=0 or L=Inf.mp4 30.4 MB
- Calculus I (Entire Course)/Calculus 1.5.2 Determine Vertical Asymptotes.mp4 30.4 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.3.1 Vector Equations.mp4 30.4 MB
- Calculus I (Entire Course)/Calculus 1.3.2 Evaluating Limits By Dividing Out or Rationalizing.mp4 30.3 MB
- Software Engineering/Characteristics of Good Software.mp4 30.3 MB
- Calculus I (Entire Course)/Calculus 5.8.1 Integrate Inverse Trigonometric Functions.mp4 30.2 MB
- Software Engineering/Software Project Manager.mp4 30.2 MB
- Operating System/Round Robin Scheduling - Solved Problem (Part 1).mp4 30.2 MB
- Java Algorithms/Java Algorithms.mp4 30.2 MB
- Data Structures/AVL Tree 2 Nodes.mp4 30.1 MB
- Calculus I (Entire Course)/Calculus 3.4.1 Intervals of Concavity.mp4 30.1 MB
- Software Engineering/User Interface Requirements.mp4 30.0 MB
- Discrete Math I (Entire Course)/Discrete Math - 7.2.1 Probability Theory.mp4 30.0 MB
- Data Structures/Hashes 5 Compressing numbers to fit the size of the array.mp4 30.0 MB
- Operating System/Introduction to Threads.mp4 29.9 MB
- Calculus II (Entire Course)/Calculus II - 8.2.1 Integration by Parts.mp4 29.9 MB
- Data Structures/Red Black Tree 10 number of black nodes.mp4 29.8 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.2.2 Solution Sets and Free Variables.mp4 29.7 MB
- Bioinformatics in Python/Bioinformatics in Python - DNA Toolkit. Part 1 - Validating and counting nucleotides..mp4 29.7 MB
- Calculus II (Entire Course)/Calculus II - 6.1.1 General and Particular Solutions to Differential Equations.mp4 29.7 MB
- Probability/Generalizing with binomial coefficients (bit advanced) _ Probability and Statistics _ Khan Academy.mp4 29.6 MB
- Linear Algebra (Entire Course)/Linear Algebra 6.2.1 Orthogonal Sets.mp4 29.6 MB
- Software Engineering/Structured Design.mp4 29.5 MB
- Calculus II (Entire Course)/Calculus II - 9.1.1 The Limit of a Sequence.mp4 29.5 MB
- Calculus II (Entire Course)/Calculus II - 10.1.3 Ellipses.mp4 29.4 MB
- C++ Tutorial/C++ Tutorial 13 - Advanced Functions.mp4 29.3 MB
- Software Engineering/Decision Tables.mp4 29.1 MB
- C++ Tutorial/C++ Tutorial 11 - Polymorphism.mp4 29.1 MB
- Software Engineering/Types of Maintenance.mp4 29.0 MB
- Software Engineering/Software Paradigms.mp4 29.0 MB
- Bioinformatics in Python/Rosalind Problems - Counting DNA Nucleotides.mp4 29.0 MB
- Machine Learning with Python/Applying our K Nearest Neighbors Algorithm - Practical Machine Learning Tutorial with Python p.18.mp4 28.9 MB
- Data Structures/Sorts 4 Insertion Sort Code.mp4 28.9 MB
- Software Engineering/HIPO Diagram.mp4 28.8 MB
- Software Engineering/Modularization.mp4 28.7 MB
- Java Algorithms/Java Heaps.mp4 28.7 MB
- Operating System/Structures of Operating System.mp4 28.7 MB
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- UML 2.0 Tutorial/UML 2 Deployment Diagrams.mp4 28.7 MB
- Calculus I (Entire Course)/Calculus 5.3.1 Verify Functions are Inverses of One Another.mp4 28.7 MB
- C++ Tutorial/C++ Tutorial 21 - C++ Regex 3.mp4 28.6 MB
- Discrete Math I (Entire Course)/Discrete Math - 5.2.1 The Well-Ordering Principle and Strong Induction.mp4 28.6 MB
- Operating System/Priority Scheduling (Solved Problem 2).mp4 28.6 MB
- Software Engineering/Software Design Levels.mp4 28.5 MB
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- Calculus II (Entire Course)/Calculus II - 7.4.2 Surfaces of Revolution.mp4 28.3 MB
- Calculus I (Entire Course)/Calculus 5.6.2 L’Hôpital’s Rule.mp4 28.3 MB
- Java Algorithms/Java Binary Search Tree 2.mp4 28.2 MB
- Java Algorithms/Java Hash Table.mp4 28.1 MB
- Operating System/Shared Memory Systems.mp4 28.0 MB
- Software Engineering/Need of Software Engineering.mp4 27.9 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.4.4 Summation Properties and Formulas.mp4 27.9 MB
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- Calculus II (Entire Course)/Calculus II - 7.2.3 Finding the Volume of a Solid with Known Cross Sections.mp4 27.8 MB
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- UML 2.0 Tutorial/UML 2.0 Activity Diagrams.mp4 27.5 MB
- Data Structures/Red Black Tree 8 leftRightRotate.mp4 27.5 MB
- Calculus II (Entire Course)/Calculus II - 9.4.2 The Limit Comparison Test.mp4 27.5 MB
- Linear Algebra (Entire Course)/Linear Algebra 2.1.1 Matrix Operations - Sums and Scalar Multiples.mp4 27.4 MB
- Software Engineering/Software Evolution.mp4 27.4 MB
- Discrete Math I (Entire Course)/Discrete Math - 9.1.1 Introduction to Relations.mp4 27.2 MB
- Calculus I (Entire Course)/Calculus 4.3.1 Riemann Sums.mp4 27.0 MB
- Machine Learning with Python/Introduction - 3D Convolutional Neural Network w_ Kaggle Lung Cancer Detection Competiton p.1.mp4 26.9 MB
- Calculus I (Entire Course)/Calculus 2.1.3 Differentiability and Continuity.mp4 26.8 MB
- Discrete Math I (Entire Course)/Discrete Math - 4.2.1 Decimal Expansions from Binary, Octal and Hexadecimal.mp4 26.8 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.3.3 Inverse Functions and Composition of Functions.mp4 26.8 MB
- Calculus II (Entire Course)/Calculus II - 6.3.2 The Logistic Differential Equation.mp4 26.7 MB
- Calculus I (Entire Course)/Calculus 5.3.2 Determine Whether a Function Has An Inverse.mp4 26.7 MB
- Calculus I (Entire Course)/Calculus 3.1.3 Find Extrema on a Closed Interval.mp4 26.7 MB
- Software Engineering/Manual Vs Automated Testing.mp4 26.4 MB
- Data Structures/LinkedList 3 Boundary Conditions.mp4 26.3 MB
- Calculus I (Entire Course)/Calculus 3.5.3 Horizontal Asymptotes - Tricky Examples.mp4 26.0 MB
- Software Engineering/Software Evolution Laws.mp4 25.9 MB
- Machine Learning with Python/Intro - Training a neural network to play a game with TensorFlow and Open AI.mp4 25.9 MB
- Software Engineering/Testing Approaches.mp4 25.8 MB
- Calculus II (Entire Course)/Calculus II - 9.3.1 The Integral Test.mp4 25.8 MB
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- Calculus I (Entire Course)/Calculus 5.5.3 Applications of Bases Other than e.mp4 25.5 MB
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- Machine Learning with Python/Intro and preprocessing - Using Convolutional Neural Network to Identify Dogs vs Cats p. 1.mp4 25.4 MB
- Bioinformatics in Python/Bioinformatics Tips & Tricks - Hamming Distance.mp4 25.4 MB
- Calculus II (Entire Course)/Calculus II - 6.3.1 Using Separation of Variables to Find General and Particular Solutions.mp4 25.3 MB
- C++ Tutorial/C++ Tutorial 15 - Smart Pointers & Polymorphic Templates.mp4 25.3 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.1.3 Constructing a Truth Table for Compound Propositions.mp4 25.2 MB
- Calculus I (Entire Course)/Calculus 2.3.3 Higher Order Derivatives.mp4 25.1 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.1.1 Introduction to Sets.mp4 25.0 MB
- Calculus I (Entire Course)/Calculus 5.3.4 Find the Derivative of an Inverse of a Function.mp4 25.0 MB
- Operating System/Message Passing Systems (Part 3).mp4 25.0 MB
- UML 2.0 Tutorial/UML 2.0 Tutorial.mp4 25.0 MB
- Operating System/Round Robin Scheduling - Solved Problem (Part 2).mp4 24.9 MB
- Discrete Math I (Entire Course)/Discrete Math 1.2.1 - Translating Propositional Logic Statements.mp4 24.7 MB
- Django Tutorials/Python Django Tutorial - Full-Featured Web App Part 1 - Getting Started.mp4 24.6 MB
- Calculus I (Entire Course)/Calculus 2.4.3 Simplifying Derivatives.mp4 24.6 MB
- Linear Algebra (Entire Course)/Linear Algebra 6.1.1 Inner Product, Vector Length and Distance.mp4 24.5 MB
- Discrete Math I (Entire Course)/Discrete Math - 5.4.1 Recursive Algorithms.mp4 24.5 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.4.1 The Matrix Equation Ax=b.mp4 24.5 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.7.1 Linear Independence.mp4 24.4 MB
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- Discrete Math I (Entire Course)/Discrete Math - 2.2.2 Set Identities.mp4 24.3 MB
- Calculus II (Entire Course)/Calculus II - 8.8.2 Improper Integrals with Infinite Discontinuities.mp4 24.1 MB
- Machine Learning with Python/Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10.mp4 24.0 MB
- Calculus II (Entire Course)/Calculus II - 8.1.1 Fitting Integrands to Basic Integration Rules.mp4 24.0 MB
- Calculus II (Entire Course)/Calculus II - 8.5.2 Using Partial Fractions with Quadratic Factors to Integrate.mp4 23.9 MB
- Calculus I (Entire Course)/Calculus 1.4.4 The Intermediate Value Theorem.mp4 23.8 MB
- Calculus II (Entire Course)/Calculus II - 9.5.3 Absolute and Conditional Convergence.mp4 23.7 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.3.2 Key Logical Equivalences Including De Morgan’s Laws.mp4 23.7 MB
- Software Engineering/Components of CASE Tools.mp4 23.7 MB
- Operating System/User Operating System Interface.mp4 23.6 MB
- Discrete Math I (Entire Course)/Discrete Math - 10.2.3 Applications of Graphs.mp4 23.4 MB
- C++ Tutorial/Setup Visual Studio Code Windows.mp4 23.3 MB
- Calculus II (Entire Course)/Calculus II - 7.3.2 Disk Method vs. Shell Method.mp4 23.2 MB
- Linear Algebra (Entire Course)/Linear Algebra 4.5.1 The Dimension of a Vector Space.mp4 23.0 MB
- C++ Tutorial/C++ Tutorial 20 - C++ Regex 2.mp4 23.0 MB
- Discrete Math I (Entire Course)/Discrete Math - 3.1.1 Introduction to Algorithms and Pseudo Code.mp4 22.8 MB
- Software Engineering/Pseudo Code.mp4 22.8 MB
- Machine Learning with Python/Regression Intro - Practical Machine Learning Tutorial with Python p.2.mp4 22.7 MB
- Calculus II (Entire Course)/Calculus II - 6.2.1 Use Separation of Variables to Solve a Simple Differential Equation.mp4 22.7 MB
- NA/An Introduction To NoSQL Databases.mp4 22.5 MB
- Operating System/Shortest Job First Scheduling (Solved Problem 2).mp4 22.5 MB
- Machine Learning with Python/Visualizing - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.3.mp4 22.4 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.7.3 Proof by Contradiction.mp4 22.4 MB
- Java Algorithms/Java Shell Sort.mp4 22.3 MB
- Machine Learning with Python/Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3.mp4 22.3 MB
- C++ Tutorial/Install C++ & NetBeans.mp4 22.2 MB
- UML 2.0 Tutorial/UML 2 Timing Diagrams.mp4 22.2 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.4.1 Predicate Logic.mp4 22.1 MB
- Software Engineering/White Box Testing.mp4 22.1 MB
- Linear Algebra (Entire Course)/Linear Algebra 5.1.2 More About Eigenvectors and Eigenvalues.mp4 22.0 MB
- Calculus II (Entire Course)/Calculus II - 9.5.2 The Alternating Series Remainder.mp4 22.0 MB
- Calculus I (Entire Course)/Calculus 1.1 A Preview of Calculus.mp4 22.0 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.6.3 Zero-One Matrices.mp4 21.9 MB
- Calculus I (Entire Course)/Calculus 2.4.2 The General Power Rule.mp4 21.8 MB
- Discrete Math I (Entire Course)/Discrete Math - 4.3.2 Greatest Common Divisors and Least Common Multiples.mp4 21.8 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.6.2 Applications of Linear Systems - Network Flow.mp4 21.7 MB
- Operating System/Operating System Design & Implementation.mp4 21.6 MB
- Operating System/Operating System Structure.mp4 21.6 MB
- Operating System/Sockets in Operating System.mp4 21.5 MB
- Bioinformatics in Python/Bioinformatics in Python - DNA Toolkit. Part 5 - Open Reading Frames..mp4 21.4 MB
- Linear Algebra (Entire Course)/Linear Algebra 6.3.2 The Best Approximation Theorem.mp4 21.4 MB
- Calculus I (Entire Course)/Calculus 2.5.1 Implicit and Explicit Functions.mp4 21.2 MB
- Data Structures/Hashes 2 Hash Functions.mp4 21.1 MB
- Machine Learning with Python/Practical Machine Learning Tutorial with Python Intro p.1.mp4 21.1 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.5.2 Non-Homogeneous System Solutions.mp4 21.0 MB
- Data Structures/Hashes 7 LoadFactor().mp4 20.9 MB
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- Linear Algebra (Entire Course)/Linear Algebra 1.8.2 Introduction to Linear Transformations.mp4 20.8 MB
- Operating System/System Calls.mp4 20.7 MB
- Probability/Dependent probability example 2 _ Probability and Statistics _ Khan Academy.mp4 20.7 MB
- Data Structures/Java 5 Autoboxing.mp4 20.6 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.7.1 Direct Proof.mp4 20.5 MB
- Software Engineering/Big Bang Model.mp4 20.5 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.8.2 Proofs of Existence And Uniqueness.mp4 20.4 MB
- Machine Learning with Python/Kernels Introduction - Practical Machine Learning Tutorial with Python p.29.mp4 20.4 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.4.2 Computation of Ax.mp4 20.3 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.7.2 Special Ways to Determine Linear Independence.mp4 20.3 MB
- Calculus I (Entire Course)/Calculus 5.7.2 Derivatives of Inverse Trigonometric Functions.mp4 20.2 MB
- Operating System/Computer System Architecture.mp4 20.2 MB
- Operating System/System Programs.mp4 20.1 MB
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- Linear Algebra (Entire Course)/Linear Algebra 4.5.2 Subspaces of a Finite Dimensional Space.mp4 20.0 MB
- Machine Learning with Python/Support Vector Machine Fundamentals - Practical Machine Learning Tutorial with Python p.23.mp4 19.7 MB
- Calculus I (Entire Course)/Calculus 3.4.3 The Second Derivative Test.mp4 19.7 MB
- Linear Algebra (Entire Course)/Linear Algebra 5.2.2 The Characteristic Equation.mp4 19.7 MB
- Linear Algebra (Entire Course)/Linear Algebra 5.2.1 Determinants and the IMT.mp4 19.5 MB
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- Operating System/Interprocess Communication.mp4 19.1 MB
- Operating System/Context Switch.mp4 19.1 MB
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- Calculus I (Entire Course)/Calculus 1.3.3 Evaluating Limits Using the Squeeze Theorem.mp4 18.7 MB
- Operating System/Introduction to CPU Scheduling.mp4 18.6 MB
- Calculus I (Entire Course)/Calculus 1.4.2 Continuity on Closed Intervals.mp4 18.6 MB
- Machine Learning with Python/Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25.mp4 18.5 MB
- Calculus II (Entire Course)/Calculus II - 9.1.3 Monotonic and Bounded Sequences.mp4 18.5 MB
- Calculus I (Entire Course)/Calculus 5.4.3 Integrals of the Natural Exponential Function.mp4 18.5 MB
- Operating System/Operation on Processes – Process Termination.mp4 18.2 MB
- Linear Algebra (Entire Course)/Linear Algebra 6.3.1 Orthogonal Decomposition Theorem.mp4 18.1 MB
- UML 2.0 Tutorial/UML 2 Communication Diagrams.mp4 18.1 MB
- Discrete Math I (Entire Course)/Discrete Math - 5.1.2 Proof Using Mathematical Induction - Inequalities.mp4 18.1 MB
- Bioinformatics in Python/Rosalind Problems - Transcription and Reverse Complement.mp4 18.0 MB
- Operating System/Message Passing Systems (Part 1).mp4 18.0 MB
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- Discrete Math I (Entire Course)/Discrete Math - 5.1.3 Proof Using Mathematical Induction - Divisibility.mp4 17.8 MB
- Discrete Math I (Entire Course)/Discrete Math - 3.1.4 Optimization Algorithms.mp4 17.8 MB
- Software Engineering/Software Development Paradigm.mp4 17.5 MB
- Calculus II (Entire Course)/Calculus II - 9.10.2 The Binomial Series.mp4 17.5 MB
- Calculus I (Entire Course)/Calculus 3.4.2 Points of Inflection.mp4 17.5 MB
- Machine Learning with Python/Euclidean Distance - Practical Machine Learning Tutorial with Python p.15.mp4 17.3 MB
- Machine Learning with Python/Support Vector Machine Intro and Application - Practical Machine Learning Tutorial with Python p.20.mp4 17.1 MB
- Discrete Math I (Entire Course)/Discrete Math - 4.3.3 The Euclidean Algorithm.mp4 17.1 MB
- Operating System/CPU and I_O Burst Cycles.mp4 17.1 MB
- Machine Learning with Python/Creating Our K Nearest Neighbors Algorithm - Practical Machine Learning with Python p.16.mp4 17.1 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.3.1 Introduction to Functions.mp4 17.0 MB
- Calculus II (Entire Course)/Calculus II - 10.1.4 Hyperbolas.mp4 16.9 MB
- Calculus II (Entire Course)/Calculus II - 9.5.1 The Alternating Series Test.mp4 16.8 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.2.3 Introduction to Logic Circuits.mp4 16.8 MB
- Calculus II (Entire Course)/Calculus II - 10.4.2 Polar Graphs.mp4 16.7 MB
- Linear Algebra (Entire Course)/Linear Algebra 6.1.2 Orthogonal Vectors.mp4 16.7 MB
- Operating System/Operating System Services.mp4 16.5 MB
- Discrete Math I (Entire Course)/Discrete Math - 10.1.1 Introduction to Graphs.mp4 16.5 MB
- Operating System/Types of System Calls.mp4 16.3 MB
- Operating System/Process Scheduling.mp4 16.3 MB
- Linear Algebra (Entire Course)/Linear Algebra 1.6.1 Applications of Linear Systems - Economic Sectors.mp4 16.3 MB
- Probability/Expected value of binomial distribution _ Probability and Statistics _ Khan Academy.mp4 16.2 MB
- Probability/Expected Value - E(X).mp4 16.2 MB
- Calculus I (Entire Course)/Calculus 4.2.2 The Concept of Area.mp4 16.1 MB
- Operating System/Basics of OS (Storage Structure).mp4 16.0 MB
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- Calculus I (Entire Course)/Calculus 3.5.1 Determine Finite Limits at Infinity.mp4 15.6 MB
- Calculus I (Entire Course)/Calculus 4.4.2 The Mean Value Theorem for Integrals.mp4 15.5 MB
- Data Structures/Trees 2 Complete and Full.mp4 15.4 MB
- Probability/Dependent probability example _ Probability and Statistics _ Khan Academy.mp4 15.4 MB
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- Operating System/Process State.mp4 15.0 MB
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- Probability/Free throwing probability _ Probability and Statistics _ Khan Academy.mp4 14.8 MB
- Calculus I (Entire Course)/Calculus 1.5.1 Determine Infinite Limits.mp4 14.8 MB
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- C++ Tutorial/Setup Visual Studio Code Mac.mp4 14.1 MB
- Probability/Finding probability example 2 _ Probability and Statistics _ Khan Academy.mp4 14.1 MB
- Probability/Binomial Distribution 3.mp4 14.0 MB
- Probability/Addition rule for probability _ Probability and Statistics _ Khan Academy.mp4 13.9 MB
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- Machine Learning with Python/Support Vector Assertion - Practical Machine Learning Tutorial with Python p.22.mp4 13.9 MB
- Probability/Birthday probability problem _ Probability and Statistics _ Khan Academy.mp4 13.8 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.4.3 Summations and Sigma Notation.mp4 13.8 MB
- Probability/Poisson process 2 _ Probability and Statistics _ Khan Academy.mp4 13.7 MB
- Software Engineering/CASE Tools.mp4 13.6 MB
- Calculus II (Entire Course)/Calculus II - 9.2.3 The nth Term Test for Divergence.mp4 13.6 MB
- Discrete Math I (Entire Course)/Discrete Math - 1.7.2 Proof by Contraposition.mp4 13.6 MB
- Calculus II (Entire Course)/Calculus II - 9.10.3 Use The Power Series for Elementary Functions.mp4 13.5 MB
- Probability/Probability with playing cards and Venn diagrams _ Probability and Statistics _ Khan Academy.mp4 13.4 MB
- Calculus II (Entire Course)/Calculus II - 9.3.2 The p-Series.mp4 13.3 MB
- Operating System/Process Management (Processes and Threads).mp4 13.1 MB
- Calculus II (Entire Course)/Calculus II - 10.1.1 An Introduction to Conic Sections.mp4 12.9 MB
- Machine Learning with Python/Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12.mp4 12.5 MB
- Machine Learning with Python/Classification w_ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13.mp4 12.3 MB
- Calculus II (Entire Course)/Calculus II - 10.2.2 Finding Parametric Equations.mp4 12.1 MB
- Probability/Binomial Distribution 1.mp4 12.0 MB
- Calculus I (Entire Course)/Calculus 1.4.3 Properties of Continuity.mp4 12.0 MB
- Probability/Binomial Distribution 2.mp4 12.0 MB
- Calculus II (Entire Course)/Calculus II - 7.1.1 Finding The Area Under a Curve.mp4 11.8 MB
- Probability/Mega millions jackpot probability _ Probability and combinatorics _ Precalculus _ Khan Academy.mp4 11.8 MB
- Software Engineering/Software Engineering Basics.mp4 11.7 MB
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- Calculus I (Entire Course)/Calculus I - 2.6.1 Related Rates - Water Ripples (2D Circle).mp4 11.6 MB
- Calculus II (Entire Course)/Calculus II - 7.1.3 Applications Involving the Area Between Two Curves.mp4 11.5 MB
- Probability/Three pointer vs free throwing probability _ Probability and Statistics _ Khan Academy.mp4 11.4 MB
- Probability/Introduction to Random Variables.mp4 11.1 MB
- Probability/Probability and combinations (part 2) _ Probability and Statistics _ Khan Academy.mp4 11.0 MB
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- Operating System/Main Memory _ Chapter-8 _ Operating System.mp4 10.8 MB
- Probability/Probability density functions _ Probability and Statistics _ Khan Academy.mp4 10.8 MB
- Probability/Probability (part 4).mp4 10.6 MB
- Calculus I (Entire Course)/Calculus 4.1.2 Basic Integration Rules.mp4 10.2 MB
- Machine Learning with Python/Regression How it Works - Practical Machine Learning Tutorial with Python p.7.mp4 10.1 MB
- Probability/Probability (part 5).mp4 10.1 MB
- Discrete Math I (Entire Course)/Discrete Math - 2.3.4 Useful Functions to Know.mp4 10.1 MB
- Probability/Binomial Distribution 4.mp4 10.0 MB
- Probability/Combinations.mp4 10.0 MB
- Linear Algebra (Entire Course)/Linear Algebra 4.6.2 Rank.mp4 10.0 MB
- Calculus I (Entire Course)/Calculus 5.3.3 Find the Inverse of a Function.mp4 10.0 MB
- Probability/Permutations.mp4 9.9 MB
- Calculus I (Entire Course)/Calculus I - 2.6.2 Related Rates - Balloon Inflation (Sphere).mp4 9.9 MB
- Operating System/Virtual Memory _ Chapter-9 _ Operating System.mp4 9.7 MB
- Probability/Probability (part 3).mp4 9.6 MB
- Machine Learning with Python/R Squared Theory - Practical Machine Learning Tutorial with Python p.10.mp4 9.6 MB
- Probability/Coin flipping probability _ Probability and Statistics _ Khan Academy.mp4 9.6 MB
- Probability/Probability without equally likely events _ Probability and Statistics _ Khan Academy.mp4 9.5 MB
- Operating System/Process Control Block.mp4 9.4 MB
- Probability/Getting exactly two heads (combinatorics) _ Probability and Statistics _ Khan Academy.mp4 9.4 MB
- Probability/Probability (part 2).mp4 9.3 MB
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- Data Structures/Sorts 9 Quick Sort Worst Case.mp4 8.9 MB
- Probability/Probability (part 6).mp4 8.8 MB
- Probability/Probability using combinations _ Probability and Statistics _ Khan Academy.mp4 8.7 MB
- Calculus I (Entire Course)/Calculus 4.4.3 The Average Value of a Function.mp4 8.6 MB
- Probability/Probability explained _ Independent and dependent events _ Probability and Statistics _ Khan Academy.mp4 8.5 MB
- Probability/Term life insurance and death probability _ Finance & Capital Markets _ Khan Academy.mp4 8.2 MB
- Calculus I (Entire Course)/Calculus 5.4.2 Derivatives of the Natural Exponential Function.mp4 8.1 MB
- Calculus I (Entire Course)/Calculus 2.3.2 Derivatives of Trigonometric Functions.mp4 8.1 MB
- Probability/Law of large numbers _ Probability and Statistics _ Khan Academy.mp4 7.7 MB
- Operating System/Process Synchronization _ Chapter-6 _ Operating System.mp4 7.1 MB
- Calculus I (Entire Course)/Calculus 2.4.4 Trigonometric Functions and the Chain Rule.mp4 7.1 MB
- Machine Learning with Python/Understanding Vectors - Practical Machine Learning Tutorial with Python p.21.mp4 6.8 MB
- Calculus II (Entire Course)/Calculus II - 6.1.2 Slope Fields.mp4 6.7 MB
- Probability/Exactly three heads in five flips _ Probability and Statistics _ Khan Academy.mp4 6.5 MB
- Calculus I (Entire Course)/Calculus 3.5.4 Determine Infinite Limits at Infinity.mp4 6.3 MB
- Calculus I (Entire Course)/Calculus 5.2.2 Integrals of Trigonometric Functions.mp4 6.3 MB
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- Probability/Compound probability of independent events _ Probability and Statistics _ Khan Academy.mp4 5.4 MB
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- Probability/Frequency stability property short film _ Computer Science _ Khan Academy.mp4 3.6 MB
- Software Engineering/Tutorix Simply Easy Learning Steps.mp4 2.3 MB
- Software Engineering/Tutorix Brings Simply Easy Learning.mp4 1.7 MB
- download.py 4.0 KB
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