linear-algebra   766

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Relationship between SVD and PCA. How to use SVD to perform PCA? - Cross Validated
Principal component analysis (PCA) is usually explained via an eigen-decomposition of the covariance matrix. However, it can also be performed via singular value decomposition (SVD) of the data matrix X. How does it work? What is the connection between these two approaches? What is the relationship between SVD and PCA? – Answer by amoeba
principal-component-analysis  data-analysis  statistical-methods  linear-algebra  mathematics  stackexchange  methodology 
9 days ago by haikara
Linear algebra cheat sheet for deep learning – Towards Data Science – Medium
While participating in Jeremy Howard’s excellent deep learning course I realized I was a little rusty on the prerequisites and my fuzziness was impacting my ability to understand concepts like…
linear-algebra  python  numpy 
5 weeks ago by sidmitra

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