Regularization: The Problem of Overfitting

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Skills You'll Learn

Algorithms, Expectation–Maximization (EM) Algorithm, Graphical Model, Markov Random Field

Reviews

4.6 (275 ratings)
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  • 1 star
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MV

Apr 30, 2020

Great course, especially the programming assignments. Textbook is pretty much necessary for some quizzes, definitely for the final one.

JR

Jan 29, 2018

Great course! It is pretty difficult - be prepared to study. Leave plenty of time before the final exam.

From the lesson
Review of Machine Learning Concepts from Prof. Andrew Ng's Machine Learning Class (Optional)
This module contains some basic concepts from the general framework of machine learning, taken from Professor Andrew Ng's Stanford class offered on Coursera. Many of these concepts are highly relevant to the problems we'll tackle in this course.

Taught By

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    Daphne Koller

    Professor

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