Dimensionality Reduction | ML-005 Lecture 14 | Stanford University | Andrew Ng
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Күн бұрынContents:
Motivation 1 - Data Compression,
Motivation 2 - Visualization,
Principal Component Analysis - Problem Formulation,
Principal Component Analysis Algorithm,
Choosing the number of Principal Components,
Reconstruction from Compressed Representation,
Advice for Applying PCA.
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