Regularization: The Problem of Overfitting

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Skills You'll Learn

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

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4.6 (283 ratings)
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ZZ
Feb 13, 2017

Great course! Very informative course videos and challenging yet rewarding programming assignments. Hope that the mentors can be more helpful in timely responding for questions.

MV
Apr 29, 2020

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

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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