CourseClub Me Coursera Machine Learning Engineering for Production MLOps Specialization

CourseClub Me Coursera Machine Learning Engineering for Production MLOps Specialization

Name	[CourseClub.Me] Coursera - Machine Learning Engineering for Production (MLOps) Specialization	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.3 GB
Total Files	244
Last Seen	2025-07-18 00:02
Hash	8C5561EE6358D054CBA2667635D5F4288B2952DD

/1. Introduction to Machine Learning in Production/
introduction-to-machine-learning-in-production - 01 - Specialization overview.mp4	41.9 MB
introduction-to-machine-learning-in-production - 02 - Welcome.en.srt	13.9 KB
introduction-to-machine-learning-in-production - 02 - Welcome.mp4	21.3 MB
introduction-to-machine-learning-in-production - 03 - Steps of an ML Project.en.srt	6.6 KB
introduction-to-machine-learning-in-production - 03 - Steps of an ML Project.mp4	9.5 MB
introduction-to-machine-learning-in-production - 04 - Case study speech recognition.en.srt	16.1 KB
introduction-to-machine-learning-in-production - 04 - Case study speech recognition.mp4	25.5 MB
introduction-to-machine-learning-in-production - 05 - Course outline.en.srt	4.8 KB
introduction-to-machine-learning-in-production - 05 - Course outline.mp4	6.8 MB
introduction-to-machine-learning-in-production - 06 - Key challenges.en.srt	23.5 KB
introduction-to-machine-learning-in-production - 06 - Key challenges.mp4	26.9 MB
introduction-to-machine-learning-in-production - 07 - Deployment patterns.en.srt	16.8 KB
introduction-to-machine-learning-in-production - 07 - Deployment patterns.mp4	21.0 MB
introduction-to-machine-learning-in-production - 08 - Monitoring.en.srt	17.6 KB
introduction-to-machine-learning-in-production - 08 - Monitoring.mp4	19.1 MB
introduction-to-machine-learning-in-production - 09 - Pipeline monitoring.en.srt	13.2 KB
introduction-to-machine-learning-in-production - 09 - Pipeline monitoring.mp4	17.0 MB
introduction-to-machine-learning-in-production - 10 - Modeling overview.en.srt	4.8 KB
introduction-to-machine-learning-in-production - 10 - Modeling overview.mp4	9.9 MB
introduction-to-machine-learning-in-production - 11 - Key challenges.en.srt	6.8 KB
introduction-to-machine-learning-in-production - 11 - Key challenges.mp4	9.4 MB
introduction-to-machine-learning-in-production - 12 - Why low average error isn't good enough.en.srt	0.0 KB
introduction-to-machine-learning-in-production - 12 - Why low average error isn't good enough.mp4	0.0 KB
introduction-to-machine-learning-in-production - 13 - Establish a baseline.en.srt	13.0 KB
introduction-to-machine-learning-in-production - 13 - Establish a baseline.mp4	16.8 MB
introduction-to-machine-learning-in-production - 14 - Tips for getting started.en.srt	10.6 KB
introduction-to-machine-learning-in-production - 14 - Tips for getting started.mp4	11.6 MB
introduction-to-machine-learning-in-production - 15 - Error analysis example.en.srt	11.5 KB
introduction-to-machine-learning-in-production - 15 - Error analysis example.mp4	14.4 MB
introduction-to-machine-learning-in-production - 16 - Prioritizing what to work on.en.srt	9.1 KB
introduction-to-machine-learning-in-production - 16 - Prioritizing what to work on.mp4	10.7 MB
introduction-to-machine-learning-in-production - 17 - Skewed datastes.en.srt	16.9 KB
introduction-to-machine-learning-in-production - 17 - Skewed datastes.mp4	21.1 MB
introduction-to-machine-learning-in-production - 18 - Performance auditing.en.srt	10.4 KB
introduction-to-machine-learning-in-production - 18 - Performance auditing.mp4	16.5 MB
introduction-to-machine-learning-in-production - 19 - Data-centric AI development.en.srt	4.1 KB
introduction-to-machine-learning-in-production - 19 - Data-centric AI development.mp4	7.9 MB
introduction-to-machine-learning-in-production - 20 - A useful picture of data augmentation.en.srt	0.0 KB
introduction-to-machine-learning-in-production - 20 - A useful picture of data augmentation.mp4	0.0 KB
introduction-to-machine-learning-in-production - 21 - Data augmentation.en.srt	14.4 KB
introduction-to-machine-learning-in-production - 21 - Data augmentation.mp4	17.2 MB
introduction-to-machine-learning-in-production - 22 - Can adding data hurt.en.srt	7.4 KB
introduction-to-machine-learning-in-production - 22 - Can adding data hurt.mp4	15.3 MB
introduction-to-machine-learning-in-production - 23 - Adding features.en.srt	11.6 KB
introduction-to-machine-learning-in-production - 23 - Adding features.mp4	19.0 MB
introduction-to-machine-learning-in-production - 24 - Experiment tracking.en.srt	7.6 KB
introduction-to-machine-learning-in-production - 24 - Experiment tracking.mp4	9.3 MB
introduction-to-machine-learning-in-production - 25 - From big data to good data.en.srt	4.4 KB
introduction-to-machine-learning-in-production - 25 - From big data to good data.mp4	9.3 MB
introduction-to-machine-learning-in-production - 26 - Why is data definition hard.en.srt	7.5 KB
introduction-to-machine-learning-in-production - 26 - Why is data definition hard.mp4	10.6 MB
introduction-to-machine-learning-in-production - 27 - More label ambiguity examples.en.srt	13.1 KB
introduction-to-machine-learning-in-production - 27 - More label ambiguity examples.mp4	15.5 MB
introduction-to-machine-learning-in-production - 28 - Major types of data problems.en.srt	14.7 KB
introduction-to-machine-learning-in-production - 28 - Major types of data problems.mp4	21.0 MB
introduction-to-machine-learning-in-production - 29 - Small data and label consistency.en.srt	0.0 KB
introduction-to-machine-learning-in-production - 29 - Small data and label consistency.mp4	16.0 MB
introduction-to-machine-learning-in-production - 30 - Improving label consistency.en.srt	14.3 KB
introduction-to-machine-learning-in-production - 30 - Improving label consistency.mp4	16.8 MB
introduction-to-machine-learning-in-production - 31 - Human level performance (HLP).en.srt	13.4 KB
introduction-to-machine-learning-in-production - 31 - Human level performance (HLP).mp4	19.4 MB
introduction-to-machine-learning-in-production - 32 - Raising HLP.en.srt	13.8 KB
introduction-to-machine-learning-in-production - 32 - Raising HLP.mp4	22.9 MB
introduction-to-machine-learning-in-production - 33 - Obtaining data.en.srt	19.1 KB
introduction-to-machine-learning-in-production - 33 - Obtaining data.mp4	21.7 MB
introduction-to-machine-learning-in-production - 34 - Data pipeline.en.srt	8.8 KB
introduction-to-machine-learning-in-production - 34 - Data pipeline.mp4	11.2 MB
introduction-to-machine-learning-in-production - 35 - Meta-data, data provenance and lineage.en.srt	0.0 KB
introduction-to-machine-learning-in-production - 35 - Meta-data, data provenance and lineage.mp4	0.0 KB
introduction-to-machine-learning-in-production - 36 - Balanced train dev test splits.en.srt	5.3 KB
introduction-to-machine-learning-in-production - 36 - Balanced train dev test splits.mp4	11.3 MB
introduction-to-machine-learning-in-production - 37 - What is scoping.en.srt	3.5 KB
introduction-to-machine-learning-in-production - 37 - What is scoping.mp4	8.5 MB
introduction-to-machine-learning-in-production - 38 - Scoping process.en.srt	9.1 KB
introduction-to-machine-learning-in-production - 38 - Scoping process.mp4	14.1 MB
introduction-to-machine-learning-in-production - 39 - Diligence on feasibility and value.en.srt	0.0 KB
introduction-to-machine-learning-in-production - 39 - Diligence on feasibility and value.mp4	24.4 MB
introduction-to-machine-learning-in-production - 40 - Diligence on value.en.srt	11.3 KB
introduction-to-machine-learning-in-production - 40 - Diligence on value.mp4	13.8 MB
introduction-to-machine-learning-in-production - 41 - Milestones and resourcing.en.srt	4.4 KB
introduction-to-machine-learning-in-production - 41 - Milestones and resourcing.mp4	5.0 MB
/2. Machine Learning Data Lifecycle in Production/
machine-learning-data-lifecycle-in-production - 01 - Specialization overview.en.srt	11.5 KB
machine-learning-data-lifecycle-in-production - 01 - Specialization overview.mp4	41.9 MB
machine-learning-data-lifecycle-in-production - 02 - Course Overview.en.srt	4.5 KB
machine-learning-data-lifecycle-in-production - 02 - Course Overview.mp4	16.8 MB
machine-learning-data-lifecycle-in-production - 03 - Overview.en.srt	17.7 KB
machine-learning-data-lifecycle-in-production - 03 - Overview.mp4	18.9 MB
machine-learning-data-lifecycle-in-production - 04 - ML Pipelines.en.srt	9.9 KB
machine-learning-data-lifecycle-in-production - 04 - ML Pipelines.mp4	10.7 MB
machine-learning-data-lifecycle-in-production - 05 - Importance of Data.en.srt	11.2 KB
machine-learning-data-lifecycle-in-production - 05 - Importance of Data.mp4	13.2 MB
machine-learning-data-lifecycle-in-production - 06 - Example Application Suggesting Runs.en.srt	0.0 KB
machine-learning-data-lifecycle-in-production - 06 - Example Application Suggesting Runs.mp4	11.5 MB
machine-learning-data-lifecycle-in-production - 07 - Responsible Data Security, Privacy & Fairness.mp4	0.0 KB
machine-learning-data-lifecycle-in-production - 08 - Case Study Degraded Model Performance.en.srt	0.0 KB
machine-learning-data-lifecycle-in-production - 08 - Case Study Degraded Model Performance.mp4	0.0 KB
machine-learning-data-lifecycle-in-production - 09 - Data and Concept Change in Production ML.en.srt	0.0 KB
machine-learning-data-lifecycle-in-production - 09 - Data and Concept Change in Production ML.mp4	0.0 KB
machine-learning-data-lifecycle-in-production - 10 - Process Feedback and Human Labeling.en.srt	0.0 KB
machine-learning-data-lifecycle-in-production - 10 - Process Feedback and Human Labeling.mp4	15.3 MB
machine-learning-data-lifecycle-in-production - 11 - Detecting Data Issues.en.srt	10.8 KB
machine-learning-data-lifecycle-in-production - 11 - Detecting Data Issues.mp4	13.0 MB
machine-learning-data-lifecycle-in-production - 12 - TensorFlow Data Validation.en.srt	8.9 KB
machine-learning-data-lifecycle-in-production - 12 - TensorFlow Data Validation.mp4	9.2 MB
machine-learning-data-lifecycle-in-production - 13 - Introduction to Preprocessing.en.srt	7.5 KB
machine-learning-data-lifecycle-in-production - 13 - Introduction to Preprocessing.mp4	10.5 MB
machine-learning-data-lifecycle-in-production - 14 - Preprocessing Operations.en.srt	9.6 KB
machine-learning-data-lifecycle-in-production - 14 - Preprocessing Operations.mp4	12.4 MB
machine-learning-data-lifecycle-in-production - 15 - Feature Engineering Techniques.en.srt	15.5 KB
machine-learning-data-lifecycle-in-production - 15 - Feature Engineering Techniques.mp4	21.3 MB
machine-learning-data-lifecycle-in-production - 16 - Feature Crosses.en.srt	5.2 KB
machine-learning-data-lifecycle-in-production - 16 - Feature Crosses.mp4	5.5 MB
machine-learning-data-lifecycle-in-production - 17 - Preprocessing Data at Scale.en.srt	16.1 KB
machine-learning-data-lifecycle-in-production - 17 - Preprocessing Data at Scale.mp4	18.5 MB
machine-learning-data-lifecycle-in-production - 18 - TensorFlow Transform.en.srt	21.0 KB
machine-learning-data-lifecycle-in-production - 18 - TensorFlow Transform.mp4	18.4 MB
machine-learning-data-lifecycle-in-production - 19 - Hello World with tf.Transform.en.srt	9.3 KB
machine-learning-data-lifecycle-in-production - 19 - Hello World with tf.Transform.mp4	10.9 MB
machine-learning-data-lifecycle-in-production - 20 - Feature Spaces.en.srt	6.8 KB
machine-learning-data-lifecycle-in-production - 20 - Feature Spaces.mp4	6.6 MB
machine-learning-data-lifecycle-in-production - 21 - Feature Selection.en.srt	5.9 KB
machine-learning-data-lifecycle-in-production - 21 - Feature Selection.mp4	6.0 MB
machine-learning-data-lifecycle-in-production - 22 - Filter Methods.en.srt	9.9 KB
machine-learning-data-lifecycle-in-production - 22 - Filter Methods.mp4	8.4 MB
machine-learning-data-lifecycle-in-production - 23 - Wrapper Methods.en.srt	8.0 KB
machine-learning-data-lifecycle-in-production - 23 - Wrapper Methods.mp4	7.6 MB
machine-learning-data-lifecycle-in-production - 24 - Embedded Methods.en.srt	7.3 KB
machine-learning-data-lifecycle-in-production - 24 - Embedded Methods.mp4	7.9 MB
machine-learning-data-lifecycle-in-production - 25 - Data Journey.en.srt	9.8 KB
machine-learning-data-lifecycle-in-production - 25 - Data Journey.mp4	11.1 MB
machine-learning-data-lifecycle-in-production - 26 - Introduction to ML Metadata.en.srt	10.5 KB
machine-learning-data-lifecycle-in-production - 26 - Introduction to ML Metadata.mp4	13.8 MB
machine-learning-data-lifecycle-in-production - 27 - ML Metadata in Action.en.srt	7.1 KB
machine-learning-data-lifecycle-in-production - 27 - ML Metadata in Action.mp4	6.5 MB
machine-learning-data-lifecycle-in-production - 28 - Schema Development.en.srt	7.3 KB
machine-learning-data-lifecycle-in-production - 28 - Schema Development.mp4	6.4 MB
machine-learning-data-lifecycle-in-production - 29 - Schema Environments.en.srt	6.2 KB
machine-learning-data-lifecycle-in-production - 29 - Schema Environments.mp4	5.3 MB
machine-learning-data-lifecycle-in-production - 30 - Feature Stores.en.srt	8.7 KB
machine-learning-data-lifecycle-in-production - 30 - Feature Stores.mp4	11.5 MB
machine-learning-data-lifecycle-in-production - 31 - Data Warehouse.en.srt	5.6 KB
machine-learning-data-lifecycle-in-production - 31 - Data Warehouse.mp4	6.2 MB
machine-learning-data-lifecycle-in-production - 32 - Data Lakes.en.srt	3.7 KB
machine-learning-data-lifecycle-in-production - 32 - Data Lakes.mp4	5.0 MB
machine-learning-data-lifecycle-in-production - 33 - Semi-supervised Learning.en.srt	7.2 KB
machine-learning-data-lifecycle-in-production - 33 - Semi-supervised Learning.mp4	6.8 MB
machine-learning-data-lifecycle-in-production - 34 - Active Learning.en.srt	7.4 KB
machine-learning-data-lifecycle-in-production - 34 - Active Learning.mp4	6.3 MB
machine-learning-data-lifecycle-in-production - 35 - Weak Supervision.en.srt	7.0 KB
machine-learning-data-lifecycle-in-production - 35 - Weak Supervision.mp4	7.3 MB
machine-learning-data-lifecycle-in-production - 36 - Data Augmentation.en.srt	5.7 KB
machine-learning-data-lifecycle-in-production - 36 - Data Augmentation.mp4	6.5 MB
machine-learning-data-lifecycle-in-production - 37 - Time Series.en.srt	11.5 KB
machine-learning-data-lifecycle-in-production - 37 - Time Series.mp4	13.3 MB
machine-learning-data-lifecycle-in-production - 38 - Sensors and Signals.en.srt	4.0 KB
machine-learning-data-lifecycle-in-production - 38 - Sensors and Signals.mp4	4.6 MB
/3. Machine Learning Modeling Pipelines in Production/
machine-learning-modeling-pipelines-in-production - 01 - Course Overview.en.srt	4.0 KB
machine-learning-modeling-pipelines-in-production - 01 - Course Overview.mp4	11.0 MB
machine-learning-modeling-pipelines-in-production - 02 - Hyperparameter Tuning.en.srt	5.7 KB
machine-learning-modeling-pipelines-in-production - 02 - Hyperparameter Tuning.mp4	6.9 MB
machine-learning-modeling-pipelines-in-production - 03 - Keras Autotuner Demo.en.srt	7.5 KB
machine-learning-modeling-pipelines-in-production - 03 - Keras Autotuner Demo.mp4	9.5 MB
machine-learning-modeling-pipelines-in-production - 04 - Intro to AutoML.en.srt	7.4 KB
machine-learning-modeling-pipelines-in-production - 04 - Intro to AutoML.mp4	8.3 MB
machine-learning-modeling-pipelines-in-production - 05 - Understanding Search Spaces.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 05 - Understanding Search Spaces.mp4	2.8 MB
machine-learning-modeling-pipelines-in-production - 06 - Search Strategies.en.srt	6.1 KB
machine-learning-modeling-pipelines-in-production - 06 - Search Strategies.mp4	7.1 MB
machine-learning-modeling-pipelines-in-production - 07 - Measuring AutoML Efficacy.en.srt	4.9 KB
machine-learning-modeling-pipelines-in-production - 07 - Measuring AutoML Efficacy.mp4	5.6 MB
machine-learning-modeling-pipelines-in-production - 08 - AutoML on the Cloud.en.srt	13.2 KB
machine-learning-modeling-pipelines-in-production - 08 - AutoML on the Cloud.mp4	12.4 MB
machine-learning-modeling-pipelines-in-production - 09 - Assignment Setup.en.srt	2.6 KB
machine-learning-modeling-pipelines-in-production - 09 - Assignment Setup.mp4	3.4 MB
machine-learning-modeling-pipelines-in-production - 10 - Dimensionality Effect on Performance.mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 11 - Curse of Dimensionality.en.srt	12.9 KB
machine-learning-modeling-pipelines-in-production - 11 - Curse of Dimensionality.mp4	14.5 MB
machine-learning-modeling-pipelines-in-production - 12 - Curse of Dimensionality an Example.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 12 - Curse of Dimensionality an Example.mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 13 - Manual Dimensionality Reduction.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 13 - Manual Dimensionality Reduction.mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 15 - Algorithmic Dimensionality Reduction.mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 16 - Principal Components Analysis.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 16 - Principal Components Analysis.mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 17 - Other Techniques.en.srt	9.1 KB
machine-learning-modeling-pipelines-in-production - 17 - Other Techniques.mp4	11.4 MB
machine-learning-modeling-pipelines-in-production - 18 - Mobile, IoT, and Similar Use Cases.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 18 - Mobile, IoT, and Similar Use Cases.mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 19 - Benefits and Process of Quantization.mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 20 - Post Training Quantization.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 20 - Post Training Quantization.mp4	9.1 MB
machine-learning-modeling-pipelines-in-production - 21 - Quantization Aware Training.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 21 - Quantization Aware Training.mp4	6.6 MB
machine-learning-modeling-pipelines-in-production - 22 - Pruning.en.srt	19.3 KB
machine-learning-modeling-pipelines-in-production - 22 - Pruning.mp4	21.4 MB
machine-learning-modeling-pipelines-in-production - 23 - Distributed Training.en.srt	14.2 KB
machine-learning-modeling-pipelines-in-production - 23 - Distributed Training.mp4	16.7 MB
machine-learning-modeling-pipelines-in-production - 24 - High-Performance Ingestion.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 24 - High-Performance Ingestion.mp4	16.5 MB
machine-learning-modeling-pipelines-in-production - 26 - Teacher and Student Networks.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 26 - Teacher and Student Networks.mp4	4.6 MB
machine-learning-modeling-pipelines-in-production - 27 - Knowledge Distillation Techniques.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 27 - Knowledge Distillation Techniques.mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 29 - Model Performance Analysis.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 29 - Model Performance Analysis.mp4	16.5 MB
machine-learning-modeling-pipelines-in-production - 31 - TFMA in Practice.en.srt	5.9 KB
machine-learning-modeling-pipelines-in-production - 31 - TFMA in Practice.mp4	5.8 MB
machine-learning-modeling-pipelines-in-production - 32 - Model Debugging Overview.en.srt	5.0 KB
machine-learning-modeling-pipelines-in-production - 32 - Model Debugging Overview.mp4	5.0 MB
machine-learning-modeling-pipelines-in-production - 33 - Benchmark Models.en.srt	2.1 KB
machine-learning-modeling-pipelines-in-production - 33 - Benchmark Models.mp4	1.6 MB
machine-learning-modeling-pipelines-in-production - 35 - Adversarial Attack Demo.en.srt	5.0 KB
machine-learning-modeling-pipelines-in-production - 35 - Adversarial Attack Demo.mp4	11.9 MB
machine-learning-modeling-pipelines-in-production - 36 - Residual Analysis.en.srt	3.4 KB
machine-learning-modeling-pipelines-in-production - 36 - Residual Analysis.mp4	3.2 MB
machine-learning-modeling-pipelines-in-production - 37 - Model Remediation.en.srt	6.2 KB
machine-learning-modeling-pipelines-in-production - 37 - Model Remediation.mp4	6.5 MB
machine-learning-modeling-pipelines-in-production - 38 - Fairness.en.srt	7.2 KB
machine-learning-modeling-pipelines-in-production - 38 - Fairness.mp4	5.5 MB
machine-learning-modeling-pipelines-in-production - 39 - Measuring Fairness.en.srt	9.4 KB
machine-learning-modeling-pipelines-in-production - 39 - Measuring Fairness.mp4	8.4 MB
machine-learning-modeling-pipelines-in-production - 40 - Continuous Evaluation and Monitoring.mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 41 - Explainable AI.en.srt	10.0 KB
machine-learning-modeling-pipelines-in-production - 41 - Explainable AI.mp4	12.2 MB
machine-learning-modeling-pipelines-in-production - 42 - Model Interpretation Methods.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 42 - Model Interpretation Methods.mp4	13.6 MB
machine-learning-modeling-pipelines-in-production - 43 - Intrinsically Interpretable Models.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 43 - Intrinsically Interpretable Models.mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 44 - Model Agnostic Methods.en.srt	2.5 KB
machine-learning-modeling-pipelines-in-production - 44 - Model Agnostic Methods.mp4	2.6 MB
machine-learning-modeling-pipelines-in-production - 45 - Partial Dependence Plots.en.srt	7.4 KB
machine-learning-modeling-pipelines-in-production - 45 - Partial Dependence Plots.mp4	7.8 MB
machine-learning-modeling-pipelines-in-production - 46 - Permutation Feature Importance.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 46 - Permutation Feature Importance.mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 47 - Shapley Values.en.srt	9.2 KB
machine-learning-modeling-pipelines-in-production - 47 - Shapley Values.mp4	10.7 MB
machine-learning-modeling-pipelines-in-production - 48 - SHapley Additive exPlanations (SHAP).mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 49 - Testing Concept Activation Vectors.en.srt	0.0 KB
machine-learning-modeling-pipelines-in-production - 49 - Testing Concept Activation Vectors.mp4	0.0 KB
machine-learning-modeling-pipelines-in-production - 50 - LIME.en.srt	2.4 KB
machine-learning-modeling-pipelines-in-production - 50 - LIME.mp4	2.2 MB
machine-learning-modeling-pipelines-in-production - 51 - AI Explanations.en.srt	8.7 KB
machine-learning-modeling-pipelines-in-production - 51 - AI Explanations.mp4	10.9 MB
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[CourseClub.Me].url	0.1 KB
Total files 244