PCA

Machine Learning Statistics

Principal Component Analysis (PCA) Explained

Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data. Steve Brunton explains it in this great video.

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Data Science Statistics

Principal Component Analysis Explained

Computerphile explains PCA – Principle Component Analysis in an accessible way.

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AI Generative AI Neural Networks

Creating Customized Celebrities with AI

YouTuber carykh explores GANs that create customized faces of imaginary celebrities.

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