[CourseClub.Me] Coursera – Machine Learning Engineering for Production (MLOps) Specialization

Creation Time	April 20, 2024, 11:39 a.m.
Last Access Time	Oct. 26, 2025, 2:18 a.m.
File Size	513.0 MB
Keywords	Me CourseClub for Coursera Engineering Machine – Production Learning MLOps Specialization
Total Requests	479
Total Files	289
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/02_mlops-levels-1-2.mp4 26.8 MB
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/01_key-challenges.mp4 25.6 MB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/02_label-and-organize-data/01_obtaining-data.mp4 20.7 MB
3.Machine Learning Modeling Pipelines in Production/02_week-2-model-resource-management-techniques/02_quantization-and-pruning/06_pruning.mp4 20.4 MB
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/04_monitoring.mp4 18.3 MB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/05_adding-features.mp4 18.1 MB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/03_data-augmentation.mp4 16.0 MB
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/01_model-analysis-overview/01_model-performance-analysis.mp4 15.7 MB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/06_right-to-be-forgotten.mp4 15.0 MB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/02_intrinsically-interpretable-models.mp4 14.8 MB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/04_can-adding-data-hurt.mp4 14.6 MB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/02_scoping-process.mp4 13.5 MB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/04_diligence-on-value.mp4 13.2 MB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/01_model-interpretation-methods.mp4 13.0 MB
2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/03_collecting-data/01_importance-of-data.mp4 12.6 MB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/06_automl-on-the-cloud.mp4 11.8 MB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/01_explainable-ai/01_explainable-ai.mp4 11.6 MB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/01_feature-stores.mp4 11.0 MB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/02_label-and-organize-data/02_data-pipeline.mp4 10.7 MB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/01_data-journey-and-data-storage/01_data-journey.mp4 10.6 MB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/11_ai-explanations.mp4 10.3 MB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/05_shapley-values.mp4 10.2 MB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/01_selecting-and-training-a-model/01_modeling-overview.mp4 9.4 MB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/01_selecting-and-training-a-model/02_key-challenges.mp4 9.0 MB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/06_experiment-tracking.mp4 8.9 MB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/07_from-big-data-to-good-data.mp4 8.9 MB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/03_ways-to-mitigate-model-decay.mp4 8.6 MB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/01_what-is-scoping.mp4 8.1 MB
4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/01_mlops-level-0.mp4 7.9 MB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/01_intro-to-automl.mp4 7.9 MB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/01_data-centric-ai-development.mp4 7.5 MB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/01_responsible-ai.mp4 7.4 MB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/03_search-strategies.mp4 6.8 MB
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/10_model-remediation.mp4 6.2 MB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/01_schema-development.mp4 6.1 MB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/02_data-warehouse.mp4 5.9 MB
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/02_tfma-in-practice.mp4 5.5 MB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/05_measuring-automl-efficacy.mp4 5.4 MB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_1706.06969.pdf 5.4 MB
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/11_fairness.mp4 5.3 MB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/02_schema-environments.mp4 5.1 MB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/01_what-is-model-decay.mp4 5.1 MB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/05_milestones-and-resourcing.mp4 4.8 MB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/03_data-lakes.mp4 4.7 MB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/02_model-decay-detection.mp4 3.9 MB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/01_explainable-ai/02_explainable-ai_1910.10045.pdf 3.7 MB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/03_interpretability_15-243.pdf 3.2 MB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_15-243.pdf 3.2 MB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/08_assignment-setup.mp4 3.2 MB
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/09_residual-analysis.mp4 3.1 MB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/02_understanding-search-spaces.mp4 2.7 MB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/09_lime.mp4 2.1 MB
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/05_benchmark-models.mp4 1.6 MB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_parsons.pdf 503.4 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_gpipe.py 347.6 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_2004.07213v2 48.2 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_2010.02013 44.1 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_2010.02013 42.5 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1811.06965 40.9 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1511.04508 40.4 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1911.04252 39.9 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1803.03635 39.7 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/08_week-2-optional-references_1912.02292 39.5 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_1912.02292 39.5 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1801.01489 39.4 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1910.08381 38.9 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_2011.09926 38.6 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1712.05877 38.5 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1806.03377 38.3 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/04_neural-architecture-search_1603.01670 38.1 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1603.01670 38.1 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1409.4842 37.9 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_2011.09926 37.0 KB
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/01_key-challenges.en.srt 23.0 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/02_label-and-organize-data/01_obtaining-data.en.srt 18.7 KB
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/04_monitoring.en.srt 17.2 KB
4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/02_mlops-levels-1-2.en.srt 16.5 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/01_model-interpretation-methods.en.srt 14.7 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/03_data-augmentation.en.srt 14.1 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/06_automl-on-the-cloud.en.srt 12.9 KB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/06_right-to-be-forgotten.en.srt 12.5 KB
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/01_key-challenges.en.txt 12.0 KB
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/01_model-analysis-overview/01_model-performance-analysis.en.srt 11.9 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_DLDL.html 11.8 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/05_adding-features.en.srt 11.3 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/04_diligence-on-value.en.srt 11.0 KB
4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/02_mlops-levels-1-2.en.txt 10.6 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/02_label-and-organize-data/01_obtaining-data.en.txt 10.0 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/01_explainable-ai/01_explainable-ai.en.srt 9.8 KB
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/04_monitoring.en.txt 9.2 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/05_shapley-values.en.srt 9.0 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/02_scoping-process.en.srt 8.9 KB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/03_ways-to-mitigate-model-decay.en.srt 8.9 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/02_label-and-organize-data/02_data-pipeline.en.srt 8.6 KB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/01_feature-stores.en.srt 8.5 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/11_ai-explanations.en.srt 8.5 KB
4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/01_mlops-level-0.en.srt 8.3 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/01_model-interpretation-methods.en.txt 7.9 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/09_automl_quiz.html 7.5 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/06_experiment-tracking.en.srt 7.4 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/03_data-augmentation.en.txt 7.4 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/05_adding-features.en.txt 7.4 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/04_can-adding-data-hurt.en.srt 7.3 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/01_intro-to-automl.en.srt 7.2 KB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/01_schema-development.en.srt 7.1 KB
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/11_fairness.en.srt 7.0 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/06_automl-on-the-cloud.en.txt 6.9 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/01_selecting-and-training-a-model/02_key-challenges.en.srt 6.6 KB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/06_right-to-be-forgotten.en.txt 6.6 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/04_graded-assessment/01_modeling-challenges_exam.html 6.4 KB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/01_responsible-ai.en.srt 6.2 KB
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/01_model-analysis-overview/01_model-performance-analysis.en.txt 6.2 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/07_scoping-optional_quiz.html 6.1 KB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/02_schema-environments.en.srt 6.1 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/03_search-strategies.en.srt 6.0 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/04_diligence-on-value.en.txt 5.8 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/05_shapley-values.en.txt 5.8 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/02_scoping-process.en.txt 5.7 KB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/02_data-warehouse.en.srt 5.5 KB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/01_what-is-model-decay.en.srt 5.3 KB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/01_feature-stores.en.txt 5.3 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_instructions.html 5.1 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/01_explainable-ai/01_explainable-ai.en.txt 5.1 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/05_measuring-automl-efficacy.en.srt 4.8 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/04_can-adding-data-hurt.en.txt 4.7 KB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/03_ways-to-mitigate-model-decay.en.txt 4.6 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/01_intro-to-automl.en.txt 4.6 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/02_label-and-organize-data/02_data-pipeline.en.txt 4.6 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/11_ai-explanations.en.txt 4.5 KB
4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/01_mlops-level-0.en.txt 4.4 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/01_selecting-and-training-a-model/02_key-challenges.en.txt 4.4 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/07_from-big-data-to-good-data.en.srt 4.3 KB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/07_gdpr-and-privacy_quiz.html 4.2 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/01_data-centric-ai-development.en.srt 4.0 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/05_acknowledgments/01_acknowledgements_instructions.html 4.0 KB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/01_responsible-ai.en.txt 4.0 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/06_experiment-tracking.en.txt 3.9 KB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/05_model-decay_quiz.html 3.9 KB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/02_model-decay-detection.en.srt 3.9 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/03_search-strategies.en.txt 3.8 KB
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/11_fairness.en.txt 3.7 KB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/01_schema-development.en.txt 3.7 KB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/03_data-lakes.en.srt 3.6 KB
4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/07_mlops-methodology_quiz.html 3.6 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/01_what-is-scoping.en.srt 3.4 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/01_explainable-ai/03_explainable-ai_quiz.html 3.3 KB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/02_schema-environments.en.txt 3.2 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/05_measuring-automl-efficacy.en.txt 3.1 KB
2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/04_labeling-data/04_data-labeling_quiz.html 3.0 KB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/02_data-warehouse.en.txt 2.9 KB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/01_what-is-model-decay.en.txt 2.8 KB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/03_schema-environments_quiz.html 2.8 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/07_from-big-data-to-good-data.en.txt 2.7 KB
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/01_model-analysis-overview/03_model-analysis_quiz.html 2.7 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/08_assignment-setup.en.srt 2.5 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/04_interpretability_quiz.html 2.5 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/02_understanding-search-spaces.en.srt 2.3 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/09_lime.en.srt 2.3 KB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/01_what-is-scoping.en.txt 2.2 KB
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/01_data-centric-ai-development.en.txt 2.2 KB
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/02_model-decay-detection.en.txt 2.0 KB
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/03_data-lakes.en.txt 2.0 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/03_interpretability_instructions.html 1.6 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/07_automl_instructions.html 1.6 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/02_understanding-search-spaces.en.txt 1.5 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/01_explainable-ai/02_explainable-ai_instructions.html 1.4 KB
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/08_assignment-setup.en.txt 1.3 KB
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/01_model-analysis-overview/02_tensorboard_instructions.html 1.2 KB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/09_lime.en.txt 1.2 KB
[CourseClub.Me].url 122 bytes
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/03_deployment-patterns.en.srt 0 bytes
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/03_deployment-patterns.en.txt 0 bytes
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/03_deployment-patterns.mp4 0 bytes
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/05_pipeline-monitoring.en.srt 0 bytes
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/05_pipeline-monitoring.en.txt 0 bytes
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/05_pipeline-monitoring.mp4 0 bytes
1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/04_graded-assessment/01_deployment_exam.html 0 bytes
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/01_selecting-and-training-a-model/01_modeling-overview.en.srt 0 bytes
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/01_selecting-and-training-a-model/01_modeling-overview.en.txt 0 bytes
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/01_selecting-and-training-a-model/04_establish-a-baseline.en.srt 0 bytes
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/01_selecting-and-training-a-model/04_establish-a-baseline.en.txt 0 bytes
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/01_selecting-and-training-a-model/04_establish-a-baseline.mp4 0 bytes
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/01_selecting-and-training-a-model/05_tips-for-getting-started.mp4 0 bytes
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/02_error-analysis-and-performance-auditing/03_skewed-datasets.mp4 0 bytes
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/02_a-useful-picture-of-data-augmentation.en.srt 0 bytes
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/02_a-useful-picture-of-data-augmentation.en.txt 0 bytes
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/02_a-useful-picture-of-data-augmentation.mp4 0 bytes
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/08_week-2-optional-references_2004.07213v2 0 bytes
1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/08_week-2-optional-references_instructions.html 0 bytes
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/01_define-data-and-establish-baseline/07_raising-hlp.en.srt 0 bytes
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/01_define-data-and-establish-baseline/07_raising-hlp.en.txt 0 bytes
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/01_define-data-and-establish-baseline/07_raising-hlp.mp4 0 bytes
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/03_diligence-on-feasibility-and-value.mp4 0 bytes
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/05_milestones-and-resourcing.en.srt 0 bytes
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/05_milestones-and-resourcing.en.txt 0 bytes
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/06_week-3-optional-references_DLDL.html 0 bytes
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/05_acknowledgements/01_acknowledgments_instructions.html 0 bytes
2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/03_collecting-data/01_importance-of-data.en.srt 0 bytes
2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/03_collecting-data/01_importance-of-data.en.txt 0 bytes
2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/03_collecting-data/04_data-collection_quiz.html 0 bytes
2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/05_validating-data/01_detecting-data-issues.en.srt 0 bytes
2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/05_validating-data/01_detecting-data-issues.en.txt 0 bytes
2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/05_validating-data/01_detecting-data-issues.mp4 0 bytes
2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/05_validating-data/02_tensorflow-data-validation.mp4 0 bytes
2.Machine Learning Data Lifecycle in Production/02_week-2-feature-engineering-transformation-and-selection/03_feature-selection/01_feature-spaces.mp4 0 bytes
2.Machine Learning Data Lifecycle in Production/02_week-2-feature-engineering-transformation-and-selection/03_feature-selection/03_filter-methods.mp4 0 bytes
2.Machine Learning Data Lifecycle in Production/02_week-2-feature-engineering-transformation-and-selection/03_feature-selection/04_wrapper-methods.mp4 0 bytes
2.Machine Learning Data Lifecycle in Production/02_week-2-feature-engineering-transformation-and-selection/03_feature-selection/05_embedded-methods.mp4 0 bytes
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/01_data-journey-and-data-storage/01_data-journey.en.srt 0 bytes
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/01_data-journey-and-data-storage/01_data-journey.en.txt 0 bytes
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/01_data-journey-and-data-storage/03_ml-metadata-in-action.mp4 0 bytes
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/01_data-journey-and-data-storage/04_data-journey_quiz.html 0 bytes
2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/05_enterprise-data-storage_quiz.html 0 bytes
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/04_neural-architecture-search_1611.01578.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/04_neural-architecture-search_1712.00559.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/04_neural-architecture-search_1808.05377.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/04_neural-architecture-search_instructions.html 0 bytes
3.Machine Learning Modeling Pipelines in Production/02_week-2-model-resource-management-techniques/01_dimensionality-reduction/08_other-techniques.mp4 0 bytes
3.Machine Learning Modeling Pipelines in Production/02_week-2-model-resource-management-techniques/02_quantization-and-pruning/06_pruning.en.srt 0 bytes
3.Machine Learning Modeling Pipelines in Production/02_week-2-model-resource-management-techniques/02_quantization-and-pruning/06_pruning.en.txt 0 bytes
3.Machine Learning Modeling Pipelines in Production/02_week-2-model-resource-management-techniques/02_quantization-and-pruning/07_pruning_1803.03635 0 bytes
3.Machine Learning Modeling Pipelines in Production/02_week-2-model-resource-management-techniques/02_quantization-and-pruning/07_pruning_lecun-90b.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/03_week-3-high-performance-modeling/01_high-performance-modeling/01_distributed-training.en.srt 0 bytes
3.Machine Learning Modeling Pipelines in Production/03_week-3-high-performance-modeling/01_high-performance-modeling/01_distributed-training.en.txt 0 bytes
3.Machine Learning Modeling Pipelines in Production/03_week-3-high-performance-modeling/01_high-performance-modeling/01_distributed-training.mp4 0 bytes
3.Machine Learning Modeling Pipelines in Production/03_week-3-high-performance-modeling/01_high-performance-modeling/02_high-performance-ingestion.mp4 0 bytes
3.Machine Learning Modeling Pipelines in Production/03_week-3-high-performance-modeling/02_knowledge-distillation/01_teacher-and-student-networks.mp4 0 bytes
3.Machine Learning Modeling Pipelines in Production/03_week-3-high-performance-modeling/02_knowledge-distillation/05_knowledge-distillation_quiz.html 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/02_tfma-in-practice.en.srt 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/02_tfma-in-practice.en.txt 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/04_model-debugging-overview.mp4 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/05_benchmark-models.en.srt 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/05_benchmark-models.en.txt 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/07_adversarial-attack-demo.en.srt 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/07_adversarial-attack-demo.en.txt 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/07_adversarial-attack-demo.mp4 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/09_residual-analysis.en.srt 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/09_residual-analysis.en.txt 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/10_model-remediation.en.srt 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/10_model-remediation.en.txt 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/12_measuring-fairness.en.srt 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/12_measuring-fairness.en.txt 0 bytes
3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/12_measuring-fairness.mp4 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/02_intrinsically-interpretable-models.en.srt 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/02_intrinsically-interpretable-models.en.txt 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/01_model-agnostic-methods.en.srt 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/01_model-agnostic-methods.en.txt 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/01_model-agnostic-methods.mp4 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/02_partial-dependence-plots.en.srt 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/02_partial-dependence-plots.en.txt 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/02_partial-dependence-plots.mp4 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/03_permutation-feature-importance.mp4 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/10_tcav-and-lime_1711.11279.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/10_tcav-and-lime_instructions.html 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/12_ai-explanations_instructions.html 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1412.6572.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1503.02531.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1607.02533.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1611.01578.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1703.01365.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1704.00023.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1707.08945.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1711.11279.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1712.00559.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1808.05377.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1904.13341.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_decomposition.html 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_instructions.html 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_lecun-90b.pdf 0 bytes
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_plot_ica_vs_pca.html 0 bytes
4.Deploying Machine Learning Models in Production/01_week-1-model-serving-introduction/04_installing-tensorflow-serving/02_tensorflow-serving_exam.html 0 bytes
4.Deploying Machine Learning Models in Production/02_week-2-model-serving-patterns-and-infrastructure/03_online-inference/01_online-inference.en.srt 0 bytes
4.Deploying Machine Learning Models in Production/02_week-2-model-serving-patterns-and-infrastructure/03_online-inference/01_online-inference.en.txt 0 bytes
4.Deploying Machine Learning Models in Production/02_week-2-model-serving-patterns-and-infrastructure/03_online-inference/01_online-inference.mp4 0 bytes
4.Deploying Machine Learning Models in Production/02_week-2-model-serving-patterns-and-infrastructure/03_online-inference/02_online-inference_quiz.html 0 bytes
4.Deploying Machine Learning Models in Production/02_week-2-model-serving-patterns-and-infrastructure/04_data-preprocessing/01_data-preprocessing.mp4 0 bytes
4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/03_mlops-resources_instructions.html 0 bytes
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/01_model-monitoring-and-logging/01_why-monitoring-matters.mp4 0 bytes
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/01_model-monitoring-and-logging/02_observability-in-ml.en.srt 0 bytes
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/01_model-monitoring-and-logging/02_observability-in-ml.en.txt 0 bytes
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/01_model-monitoring-and-logging/02_observability-in-ml.mp4 0 bytes
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/01_model-monitoring-and-logging/05_tracing-for-ml-systems.mp4 0 bytes
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/04_addressing-model-decay_instructions.html 0 bytes
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/02_responsible-ai_instructions.html 0 bytes
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/04_gdpr-and-ccpa_instructions.html 0 bytes
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/05_anonymization-and-pseudonymisation.mp4 0 bytes
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/05_course-resources/01_course-4-optional-references_1704.04861 0 bytes
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/05_course-resources/01_course-4-optional-references_36356.pdf 0 bytes
4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/06_acknowledgments/01_acknowledgements_instructions.html 0 bytes

[CourseClub.Me] Coursera – Machine Learning Engineering for Production (MLOps) Specialization

File List

Download Torrent

Related Resources

Copyright Infringement