Regularization: Cost Function

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

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4.6 (286 件の評価)
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ZZ
2017年2月13日

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
2020年4月29日

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

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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.

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    Daphne Koller

    Professor

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