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Principal Component Analysis (PCA)

Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data.

Book PDF: http://databookuw.com/databook.pdf
Book Website: http://databookuw.com

These lectures follow Chapter 1 from: "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz

Amazon: https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical/dp/1108422098/

Brunton Website: eigensteve.com

Видео Principal Component Analysis (PCA) канала Steve Brunton
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Информация о видео
28 января 2020 г. 8:29:55
00:13:46
Steve Brunton
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