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Mathematics for Machine Learning: Linear Algebra

Description

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.
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Learning Sequence

Mathematics for Machine Learning: Linear Algebra is a part of two structured learning paths.

Coursera
Imperial College London
None
DataKwery