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You are here		joellaity.com Principal component analysis: pictures, code and proofs \| Joel Laity
\|	\|	blog.georgeshakan.com Singular Value Decomposition and PCA \| George Shakan	3.2 parsecs away Travel
\|	\|	Principal Component Analysis (PCA) is a popular technique in machine learning for dimension reduction. It can be derived from Singular Value Decomposition (SVD) which we will discuss in this post. We will cover the math, an example in python, and finally some intuition. The Math SVD asserts that any $latex m \times d$ matrix $latex...	3.2 parsecs away Travel
\|	\|	evelinag.com Christmas Carol and other eigenvectors	2.6 parsecs away Travel
\|	\|	This is day 15 of the F# Advent Calendar. Do you know who wrote the classic Christmas story, 'A Christmas Carol'? Are you sure it was Charles Dickens? In this blog post, I'm using Principal Component Analysis to compare and visualise similarity between classic works of literature.	2.6 parsecs away Travel
\|	\|	liorpachter.wordpress.com What is principal component analysis? \| Bits of DNA	2.0 parsecs away Travel
\|	\|	In the Jeopardy! game show contestants are presented with questions formulated as answers that requireanswers in the form questions. For example, if a contestant selects "Normality for $200&...	2.0 parsecs away Travel
\|	\|	jaketae.github.io Likelihood and Probability - Jake Tae	32.0 parsecs away Travel
\|		"I think that's very unlikely." "No, you're probably right."	32.0 parsecs away Travel