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Machine Learning Specialization
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Course 3
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Module 1
Syllabus
Courses
Course Syllabus
Unsupervised Learning, Recommenders, Reinforcement Learning
Module 1: Unsupervised learning
Welcome to the course!
Clustering
Practice Quiz: Clustering
Practice Lab 1
Anomaly detection
Finding unusual events
Video
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11m
Gaussian (normal) distribution
Video
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10m
Anomaly detection algorithm
Video
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12m
Developing and evaluating an anomaly detection system
Video
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11m
Anomaly detection vs. supervised learning
Video
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8m
Choosing what features to use
Video
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14m
Practice quiz: Anomaly detection
Practice Lab 2
Module 2: Recommender systems
Collaborative filtering
Practice quiz: Collaborative filtering
Recommender systems implementation detail
Practice lab 1
Practice quiz: Recommender systems implementation
Content-based filtering
Practice Quiz: Content-based filtering
Practice lab 2
Principal Component Analysis
Module 3: Reinforcement learning
Reinforcement learning introduction
Practice quiz: Reinforcement learning introduction
State-action value function
Quiz: State-action value function
Continuous state spaces
Quiz: Continuous state spaces
End of Access to Lab Notebooks
Practice Lab: Reinforcement Learning
Summary and thank you
Conversations with Andrew (Optional)
Acknowledgments
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