Choosing the Number of Principal Components

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From the course by Stanford University
Machine Learning
85975 ratings
Stanford University
85975 ratings
From the lesson
Dimensionality Reduction
In this module, we introduce Principal Components Analysis, and show how it can be used for data compression to speed up learning algorithms as well as for visualizations of complex datasets.

Meet the Instructors

  • Andrew Ng
    Andrew Ng
    CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain

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