Principal component analysis (PCA)

Principal component analysis (PCA)

Technique used to find the most valuable parts of all of the variables in a dataset and to then transform the original variables into a smaller set of linear combinations.

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Daniel Frumkin
Daniel Frumkin edited on 16 March, 2019 3:37 pm
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Documentaries, videos and podcasts


Lecture 15 | Machine Learning (Stanford)

July 22, 2008

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