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Mathematics for Machine Learning: Linear Algebra

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices.
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Introduction to Linear Algebra and to Mathematics for Machine Learning
Vectors are objects that move around space
Matrices in Linear Algebra: Objects that operate on Vectors
Matrices make linear mappings
Eigenvalues and Eigenvectors: Application to Data Problems

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.

Mathematics for Machine Learning: Linear Algebra
Free
per course
Incentives
Shareable Certificate
100% online
Course 1 of 3 in the
Flexible deadlines
Beginner Level
Approx. 26 hours to complete
English
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