Regularization: The Problem of Overfitting

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Получаемые навыки

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

Рецензии

4.6 (оценок: 216)
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JR

Jan 29, 2018

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

AK

Nov 09, 2017

Awesome course... builds intuitive thinking for developing intelligent algorithms...

Из урока
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.

Преподаватели

  • Daphne Koller

    Daphne Koller

    Professor

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