Choosing the Number of Principal Components

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来自 斯坦福大学 的课程
机器学习
70569 评分
斯坦福大学
70569 评分
从本节课中
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.

与讲师见面

  • Andrew Ng
    Andrew Ng
    Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain