Reconstruction from Compressed Representation

Do curso por Universidade de Stanford
Aprendizagem Automática
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Universidade de Stanford
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Na lição
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.

Conheça os instrutores

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