Principal Component Analysis Problem Formulation

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来自 Stanford University 的课程
机器学习
82470 个评分
Stanford University
82470 个评分
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

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