magnet:?xt=urn:btih:35313B8765450CD9B0E30CFB2FAF79EE9D410E2D
4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/02_mlops-levels-1-2.mp4 28.1 MB1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/01_key-challenges.mp4 26.9 MB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/02_label-and-organize-data/01_obtaining-data.mp4 21.7 MB3.Machine Learning Modeling Pipelines in Production/02_week-2-model-resource-management-techniques/02_quantization-and-pruning/06_pruning.mp4 21.4 MB1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/04_monitoring.mp4 19.1 MB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/05_adding-features.mp4 19.0 MB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/03_data-augmentation.mp4 16.8 MB3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/01_model-analysis-overview/01_model-performance-analysis.mp4 16.5 MB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/06_right-to-be-forgotten.mp4 15.8 MB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/02_intrinsically-interpretable-models.mp4 15.5 MB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/04_can-adding-data-hurt.mp4 15.3 MB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/02_scoping-process.mp4 14.1 MB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/04_diligence-on-value.mp4 13.8 MB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/01_model-interpretation-methods.mp4 13.6 MB2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/03_collecting-data/01_importance-of-data.mp4 13.2 MB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/06_automl-on-the-cloud.mp4 12.4 MB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/01_explainable-ai/01_explainable-ai.mp4 12.2 MB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/01_feature-stores.mp4 11.5 MB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/02_label-and-organize-data/02_data-pipeline.mp4 11.2 MB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/01_data-journey-and-data-storage/01_data-journey.mp4 11.1 MB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/11_ai-explanations.mp4 10.9 MB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/05_shapley-values.mp4 10.7 MB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/01_selecting-and-training-a-model/01_modeling-overview.mp4 9.9 MB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/01_selecting-and-training-a-model/02_key-challenges.mp4 9.4 MB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/06_experiment-tracking.mp4 9.3 MB1.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 9.3 MB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/03_ways-to-mitigate-model-decay.mp4 9.0 MB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/01_what-is-scoping.mp4 8.5 MB4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/01_mlops-level-0.mp4 8.3 MB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/01_intro-to-automl.mp4 8.3 MB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/01_data-centric-ai-development.mp4 7.9 MB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/01_responsible-ai.mp4 7.8 MB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/03_search-strategies.mp4 7.1 MB3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/10_model-remediation.mp4 6.5 MB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/01_schema-development.mp4 6.4 MB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/02_data-warehouse.mp4 6.2 MB3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/02_tfma-in-practice.mp4 5.8 MB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/05_measuring-automl-efficacy.mp4 5.6 MB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_1706.06969.pdf 5.6 MB3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/11_fairness.mp4 5.5 MB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/02_schema-environments.mp4 5.3 MB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/01_what-is-model-decay.mp4 5.3 MB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/05_milestones-and-resourcing.mp4 5.0 MB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/03_data-lakes.mp4 5.0 MB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/02_model-decay-detection.mp4 4.0 MB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/01_explainable-ai/02_explainable-ai_1910.10045.pdf 3.8 MB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/03_interpretability_15-243.pdf 3.4 MB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_15-243.pdf 3.4 MB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/08_assignment-setup.mp4 3.4 MB3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/09_residual-analysis.mp4 3.2 MB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/02_understanding-search-spaces.mp4 2.8 MB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/09_lime.mp4 2.2 MB3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/05_benchmark-models.mp4 1.6 MB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_parsons.pdf 515.5 kB
3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_gpipe.py 355.9 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_2004.07213v2 49.3 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_2010.02013 45.2 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_2010.02013 43.6 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1811.06965 41.9 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1511.04508 41.4 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1911.04252 40.8 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1803.03635 40.7 kB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/08_week-2-optional-references_1912.02292 40.4 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_1912.02292 40.4 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1801.01489 40.4 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1910.08381 39.8 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_2011.09926 39.5 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1712.05877 39.5 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1806.03377 39.3 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/04_neural-architecture-search_1603.01670 39.0 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1603.01670 39.0 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1409.4842 38.8 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_2011.09926 37.9 kB1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/01_key-challenges.en.srt 23.5 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/02_label-and-organize-data/01_obtaining-data.en.srt 19.1 kB1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/04_monitoring.en.srt 17.6 kB4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/02_mlops-levels-1-2.en.srt 16.9 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/01_model-interpretation-methods.en.srt 15.1 kB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/03_data-augmentation.en.srt 14.4 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/06_automl-on-the-cloud.en.srt 13.2 kB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/06_right-to-be-forgotten.en.srt 12.8 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 12.3 kB3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/01_model-analysis-overview/01_model-performance-analysis.en.srt 12.2 kB
1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_DLDL.html 12.1 kB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/05_adding-features.en.srt 11.6 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/04_diligence-on-value.en.srt 11.3 kB4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/02_mlops-levels-1-2.en.txt 10.8 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/02_label-and-organize-data/01_obtaining-data.en.txt 10.2 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/01_explainable-ai/01_explainable-ai.en.srt 10.0 kB1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/04_monitoring.en.txt 9.4 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/05_shapley-values.en.srt 9.2 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/02_scoping-process.en.srt 9.1 kB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/03_ways-to-mitigate-model-decay.en.srt 9.1 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/02_label-and-organize-data/02_data-pipeline.en.srt 8.8 kB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/01_feature-stores.en.srt 8.7 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/11_ai-explanations.en.srt 8.7 kB4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/01_mlops-level-0.en.srt 8.5 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/01_model-interpretation-methods.en.txt 8.1 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/09_automl_quiz.html 7.7 kB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/06_experiment-tracking.en.srt 7.6 kB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/03_data-augmentation.en.txt 7.5 kB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/05_adding-features.en.txt 7.5 kB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/04_can-adding-data-hurt.en.srt 7.4 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/01_intro-to-automl.en.srt 7.4 kB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/01_schema-development.en.srt 7.3 kB3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/11_fairness.en.srt 7.2 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/06_automl-on-the-cloud.en.txt 7.0 kB1.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 6.8 kB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/06_right-to-be-forgotten.en.txt 6.8 kB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/04_graded-assessment/01_modeling-challenges_exam.html 6.5 kB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/01_responsible-ai.en.srt 6.3 kB3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/01_model-analysis-overview/01_model-performance-analysis.en.txt 6.3 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/07_scoping-optional_quiz.html 6.3 kB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/02_schema-environments.en.srt 6.2 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/03_search-strategies.en.srt 6.1 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/04_diligence-on-value.en.txt 5.9 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/05_shapley-values.en.txt 5.9 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/02_scoping-process.en.txt 5.9 kB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/02_data-warehouse.en.srt 5.6 kB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/01_what-is-model-decay.en.srt 5.4 kB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/01_feature-stores.en.txt 5.4 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/04_course-resources/01_references_instructions.html 5.3 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/01_explainable-ai/01_explainable-ai.en.txt 5.2 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/05_measuring-automl-efficacy.en.srt 4.9 kB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/04_can-adding-data-hurt.en.txt 4.8 kB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/03_ways-to-mitigate-model-decay.en.txt 4.7 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/01_intro-to-automl.en.txt 4.7 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/02_label-and-organize-data/02_data-pipeline.en.txt 4.7 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/11_ai-explanations.en.txt 4.6 kB4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/01_mlops-level-0.en.txt 4.5 kB1.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 4.5 kB1.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 4.4 kB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/07_gdpr-and-privacy_quiz.html 4.3 kB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/01_data-centric-ai-development.en.srt 4.1 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/05_acknowledgments/01_acknowledgements_instructions.html 4.1 kB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/01_responsible-ai.en.txt 4.1 kB1.Introduction to Machine Learning in Production/02_week-2-select-and-train-a-model/03_data-iteration/06_experiment-tracking.en.txt 4.0 kB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/05_model-decay_quiz.html 4.0 kB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/02_model-decay-detection.en.srt 4.0 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/03_search-strategies.en.txt 3.9 kB3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/11_fairness.en.txt 3.8 kB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/01_schema-development.en.txt 3.8 kB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/03_data-lakes.en.srt 3.7 kB4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/07_mlops-methodology_quiz.html 3.7 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/01_what-is-scoping.en.srt 3.5 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/01_explainable-ai/03_explainable-ai_quiz.html 3.4 kB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/02_schema-environments.en.txt 3.3 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/05_measuring-automl-efficacy.en.txt 3.2 kB2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/04_labeling-data/04_data-labeling_quiz.html 3.1 kB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/03_enterprise-data-storage/02_data-warehouse.en.txt 3.0 kB4.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 kB2.Machine Learning Data Lifecycle in Production/03_week-3-data-journey-and-data-storage/02_evolving-data/03_schema-environments_quiz.html 2.8 kB1.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 2.8 kB3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/01_model-analysis-overview/03_model-analysis_quiz.html 2.7 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/08_assignment-setup.en.srt 2.6 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/04_interpretability_quiz.html 2.6 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/02_understanding-search-spaces.en.srt 2.4 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/09_lime.en.srt 2.4 kB1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/01_what-is-scoping.en.txt 2.3 kB1.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 kB4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/02_model-decay-detection.en.txt 2.0 kB2.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 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/03_interpretability_instructions.html 1.7 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/07_automl_instructions.html 1.6 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/02_understanding-search-spaces.en.txt 1.5 kB3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/01_explainable-ai/02_explainable-ai_instructions.html 1.4 kB3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/08_assignment-setup.en.txt 1.3 kB3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/01_model-analysis-overview/02_tensorboard_instructions.html 1.3 kB3.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 Bytes1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/03_deployment-patterns.en.srt 0 Bytes1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/03_deployment-patterns.en.txt 0 Bytes1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/03_deployment-patterns.mp4 0 Bytes1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/05_pipeline-monitoring.en.srt 0 Bytes1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/05_pipeline-monitoring.en.txt 0 Bytes1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/05_pipeline-monitoring.mp4 0 Bytes1.Introduction to Machine Learning in Production/01_week-1-overview-of-the-ml-lifecycle-and-deployment/04_graded-assessment/01_deployment_exam.html 0 Bytes1.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 Bytes1.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 Bytes1.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 Bytes1.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 Bytes1.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 Bytes1.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 Bytes1.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 Bytes1.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 Bytes1.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 Bytes1.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 Bytes1.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 Bytes1.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 Bytes1.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 Bytes1.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 Bytes1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/01_define-data-and-establish-baseline/07_raising-hlp.mp4 0 Bytes1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/03_diligence-on-feasibility-and-value.mp4 0 Bytes1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/05_milestones-and-resourcing.en.srt 0 Bytes1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/05_milestones-and-resourcing.en.txt 0 Bytes1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/03_scoping-optional/06_week-3-optional-references_DLDL.html 0 Bytes1.Introduction to Machine Learning in Production/03_week-3-data-definition-and-baseline/05_acknowledgements/01_acknowledgments_instructions.html 0 Bytes2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/03_collecting-data/01_importance-of-data.en.srt 0 Bytes2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/03_collecting-data/01_importance-of-data.en.txt 0 Bytes2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/03_collecting-data/04_data-collection_quiz.html 0 Bytes2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/05_validating-data/01_detecting-data-issues.en.srt 0 Bytes2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/05_validating-data/01_detecting-data-issues.en.txt 0 Bytes2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/05_validating-data/01_detecting-data-issues.mp4 0 Bytes2.Machine Learning Data Lifecycle in Production/01_week-1-collecting-labeling-and-validating-data/05_validating-data/02_tensorflow-data-validation.mp4 0 Bytes2.Machine Learning Data Lifecycle in Production/02_week-2-feature-engineering-transformation-and-selection/03_feature-selection/01_feature-spaces.mp4 0 Bytes2.Machine Learning Data Lifecycle in Production/02_week-2-feature-engineering-transformation-and-selection/03_feature-selection/03_filter-methods.mp4 0 Bytes2.Machine Learning Data Lifecycle in Production/02_week-2-feature-engineering-transformation-and-selection/03_feature-selection/04_wrapper-methods.mp4 0 Bytes2.Machine Learning Data Lifecycle in Production/02_week-2-feature-engineering-transformation-and-selection/03_feature-selection/05_embedded-methods.mp4 0 Bytes2.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 Bytes2.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 Bytes2.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 Bytes2.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 Bytes2.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 Bytes3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/04_neural-architecture-search_1611.01578.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/04_neural-architecture-search_1712.00559.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/04_neural-architecture-search_1808.05377.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/01_week-1-neural-architecture-search/03_automl/04_neural-architecture-search_instructions.html 0 Bytes3.Machine Learning Modeling Pipelines in Production/02_week-2-model-resource-management-techniques/01_dimensionality-reduction/08_other-techniques.mp4 0 Bytes3.Machine Learning Modeling Pipelines in Production/02_week-2-model-resource-management-techniques/02_quantization-and-pruning/06_pruning.en.srt 0 Bytes3.Machine Learning Modeling Pipelines in Production/02_week-2-model-resource-management-techniques/02_quantization-and-pruning/06_pruning.en.txt 0 Bytes3.Machine Learning Modeling Pipelines in Production/02_week-2-model-resource-management-techniques/02_quantization-and-pruning/07_pruning_1803.03635 0 Bytes3.Machine Learning Modeling Pipelines in Production/02_week-2-model-resource-management-techniques/02_quantization-and-pruning/07_pruning_lecun-90b.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/03_week-3-high-performance-modeling/01_high-performance-modeling/01_distributed-training.en.srt 0 Bytes3.Machine Learning Modeling Pipelines in Production/03_week-3-high-performance-modeling/01_high-performance-modeling/01_distributed-training.en.txt 0 Bytes3.Machine Learning Modeling Pipelines in Production/03_week-3-high-performance-modeling/01_high-performance-modeling/01_distributed-training.mp4 0 Bytes3.Machine Learning Modeling Pipelines in Production/03_week-3-high-performance-modeling/01_high-performance-modeling/02_high-performance-ingestion.mp4 0 Bytes3.Machine Learning Modeling Pipelines in Production/03_week-3-high-performance-modeling/02_knowledge-distillation/01_teacher-and-student-networks.mp4 0 Bytes3.Machine Learning Modeling Pipelines in Production/03_week-3-high-performance-modeling/02_knowledge-distillation/05_knowledge-distillation_quiz.html 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/02_tfma-in-practice.en.srt 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/02_tfma-in-practice.en.txt 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/04_model-debugging-overview.mp4 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/05_benchmark-models.en.srt 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/05_benchmark-models.en.txt 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/07_adversarial-attack-demo.en.srt 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/07_adversarial-attack-demo.en.txt 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/07_adversarial-attack-demo.mp4 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/09_residual-analysis.en.srt 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/09_residual-analysis.en.txt 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/10_model-remediation.en.srt 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/10_model-remediation.en.txt 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/12_measuring-fairness.en.srt 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/12_measuring-fairness.en.txt 0 Bytes3.Machine Learning Modeling Pipelines in Production/04_week-4-model-analysis/02_advanced-model-analysis-and-debugging/12_measuring-fairness.mp4 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/02_intrinsically-interpretable-models.en.srt 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/02_interpretability/02_intrinsically-interpretable-models.en.txt 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/01_model-agnostic-methods.en.srt 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/01_model-agnostic-methods.en.txt 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/01_model-agnostic-methods.mp4 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/02_partial-dependence-plots.en.srt 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/02_partial-dependence-plots.en.txt 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/02_partial-dependence-plots.mp4 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/03_permutation-feature-importance.mp4 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/10_tcav-and-lime_1711.11279.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/10_tcav-and-lime_instructions.html 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/03_understanding-model-predictions/12_ai-explanations_instructions.html 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1412.6572.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1503.02531.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1607.02533.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1611.01578.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1703.01365.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1704.00023.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1707.08945.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1711.11279.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1712.00559.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1808.05377.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_1904.13341.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_decomposition.html 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_instructions.html 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_lecun-90b.pdf 0 Bytes3.Machine Learning Modeling Pipelines in Production/05_week-5-interpretability/04_course-resources/01_course-3-optional-references_plot_ica_vs_pca.html 0 Bytes4.Deploying Machine Learning Models in Production/01_week-1-model-serving-introduction/04_installing-tensorflow-serving/02_tensorflow-serving_exam.html 0 Bytes4.Deploying Machine Learning Models in Production/02_week-2-model-serving-patterns-and-infrastructure/03_online-inference/01_online-inference.en.srt 0 Bytes4.Deploying Machine Learning Models in Production/02_week-2-model-serving-patterns-and-infrastructure/03_online-inference/01_online-inference.en.txt 0 Bytes4.Deploying Machine Learning Models in Production/02_week-2-model-serving-patterns-and-infrastructure/03_online-inference/01_online-inference.mp4 0 Bytes4.Deploying Machine Learning Models in Production/02_week-2-model-serving-patterns-and-infrastructure/03_online-inference/02_online-inference_quiz.html 0 Bytes4.Deploying Machine Learning Models in Production/02_week-2-model-serving-patterns-and-infrastructure/04_data-preprocessing/01_data-preprocessing.mp4 0 Bytes4.Deploying Machine Learning Models in Production/03_week-3-model-management-and-delivery/02_mlops-methodology/03_mlops-resources_instructions.html 0 Bytes4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/01_model-monitoring-and-logging/01_why-monitoring-matters.mp4 0 Bytes4.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 Bytes4.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 Bytes4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/01_model-monitoring-and-logging/02_observability-in-ml.mp4 0 Bytes4.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 Bytes4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/02_model-decay/04_addressing-model-decay_instructions.html 0 Bytes4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/02_responsible-ai_instructions.html 0 Bytes4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/04_gdpr-and-ccpa_instructions.html 0 Bytes4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/03_gdpr-and-privacy/05_anonymization-and-pseudonymisation.mp4 0 Bytes4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/05_course-resources/01_course-4-optional-references_1704.04861 0 Bytes4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/05_course-resources/01_course-4-optional-references_36356.pdf 0 Bytes4.Deploying Machine Learning Models in Production/04_week-4-model-monitoring-and-logging/06_acknowledgments/01_acknowledgements_instructions.html 0 Bytes
[HI-RES] ME!ME!ME! + ME!ME!ME! CHRONIC + GIRL 485.4 MB
Bird Nest Roys - Me Want Me Get Me Need Me Have Me Love - 2013 136.3 MB
1-shatter-me-destroy-me-unravel-me-fracture-me-ignite-me 1.1 GB See Only Me Me Me Me Me (Digital) (Oak) 107.4 MB See Only Me Me Me Me Me (Digital) (Oak) 212.9 MB See Only Me Me Me Me Me (Digital) (Oak) 320.2 MB See Only Me Me Me Me Me (Digital) (Oak) 432.3 MB 1-shatter-me-destroy-me-unravel-me-fracture-me-ignite-me 1.1 GB See Only Me Me Me Me Me (Digital) (Oak) 677.1 MB Fukkk Offf - Love Me Hate Me Kiss Me Kill Me (2009) 180.2 MB