Choosing the Number of Principal Components

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Del curso dictado por Stanford University
Machine Learning
78308 calificaciones
Stanford University
78308 calificaciones
De la lección
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.

Conoce a los instructores

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

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