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Machine Learning Specialization
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Course 1
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Module 3
Syllabus
Courses
Course Syllabus
Supervised Machine Learning: Regression and Classification
Module 1: Week 1: Introduction to Machine Learning
Overview of Machine Learning
Supervised vs. Unsupervised Machine Learning
Practice Quiz: Supervised vs unsupervised learning
Regression Model
Practice Quiz: Regression Model
Train the model with gradient descent
Practice quiz: Train the model with gradient descent
Module 2: Week 2: Regression with multiple input variables
Multiple linear regression
Practice quiz: Multiple linear regression
Gradient descent in practice
Practice quiz: Gradient descent in practice
Week 2 practice lab: Linear regression
Module 3: Week 3: Classification
Classification with logistic regression
Practice quiz: Classification with logistic regression
Cost function for logistic regression
Practice quiz: Cost function for logistic regression
Gradient descent for logistic regression
Practice quiz: Gradient descent for logistic regression
The problem of overfitting
Practice quiz: The problem of overfitting
End of Access to Lab Notebooks
Week 3 practice lab: logistic regression
Conversations with Andrew (Optional)
Andrew Ng and Fei-Fei Li on Human-Centered AI
Video
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41m
Acknowledgments
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