Week 1: Collecting, Labeling and Validating Data -A conversation with Andrew Ng, Robert Crowe and Laurence Moroney
Specialization overview
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Course Overview
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Week 1: Collecting, Labeling and Validating Data -Introduction to Machine Learning Engineering in Production
Overview
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ML Pipelines
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Week 1: Collecting, Labeling and Validating Data -Collecting Data
Importance of Data
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Example Application: Suggesting Runs
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Responsible Data: Security, Privacy & Fairness
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Week 1: Collecting, Labeling and Validating Data -Labeling Data
Case Study: Degraded Model Performance
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Data and Concept Change in Production ML
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Process Feedback and Human Labeling
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Week 1: Collecting, Labeling and Validating Data -Validating Data
Detecting Data Issues
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TensorFlow Data Validation
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Week 1 Optional References
(Optional)Downloading your Notebook and Refreshing your Workspace
Week 1: Collecting, Labeling and Validating Data -Lecture Notes (Optional)
Lecture Notes Week 1
Week 1: Collecting, Labeling and Validating Data -Assignment
Partial Grading for Assignments
Week 2: Feature Engineering, Transformation and Selection-Feature Engineering
Introduction to Preprocessing
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Preprocessing Operations
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Feature Engineering Techniques
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Feature Crosses
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Week 2: Feature Engineering, Transformation and Selection-Feature Transformation at Scale
Preprocessing Data at Scale
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TensorFlow Transform
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Hello World with tf.Transform
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Week 2: Feature Engineering, Transformation and Selection-Feature Selection
Feature Spaces
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Feature Selection
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Filter Methods
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Wrapper Methods
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Embedded Methods
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Week 2 Optional References
Week 2: Feature Engineering, Transformation and Selection-Lecture Notes (Optional)
Lecture Notes Week 2
Week 3: Data Journey and Data Storage -Data Journey and Data Storage
Data Journey
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Introduction to ML Metadata
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ML Metadata in Action
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Week 3: Data Journey and Data Storage -Evolving Data
Schema Development
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Schema Environments
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Week 3: Data Journey and Data Storage - Enterprise Data Storage
Feature Stores
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Data Warehouse
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Data Lakes
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Week 3 Optional References
Week 3: Data Journey and Data Storage -Lecture Notes (Optional)
Lecture Notes Week 3
Week 3: Data Journey and Data Storage -End of Access to Lab Notebooks
[IMPORTANT] Reminder about end of access to Lab Notebooks
Week 4 (Optional): Advanced Labeling, Augmentation and Data Preprocessing-Advanced Labeling (Optional)
Semi-supervised Learning
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Active Learning
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Weak Supervision
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Week 4 (Optional): Advanced Labeling, Augmentation and Data Preprocessing-Data Augmentation (Optional)
Data Augmentation
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Week 4 (Optional): Advanced Labeling, Augmentation and Data Preprocessing- Preprocessing Different Data Types (Optional)
Time Series
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Sensors and Signals
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Week 4 Optional References
Week 4 (Optional): Advanced Labeling, Augmentation and Data Preprocessing-Lecture Notes (Optional)
Lecture Notes Week 4
Week 4 (Optional): Advanced Labeling, Augmentation and Data Preprocessing-Course Resources
Course 2 Optional References
Week 4 (Optional): Advanced Labeling, Augmentation and Data Preprocessing-Acknowledgements
Acknowledegements