Top Machine Learning Algorithms

Principal Component Analysis

Implementation Example:

Principal Component Analysis from Scratch in Python - AskPythonPrincipal component analysis or PCA in short is famously known as a dimensionality reduction technique.

sklearn.decomposition.PCAExamples using sklearn.decomposition.PCA: A demo of K-Means clustering on the handwritten digits data A demo of K-Means clustering on the handwritten digits data, Principal Component Regression vs ...

Relevant reading materials:

Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop – Chapter 12.1. Principal Component Analysis (p.561 – p.569)
Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville- Chapter 5.8.1. Principal Components Analysis

Relevant video lectures:

Andrew Ng’s – Lecture 14.1 – 14.7 Dimensionality Reduction

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