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Cover of Basics of Linear Algebra for Machine Learning

Basics of Linear Algebra for Machine Learning

Written by Jason Brownlee

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211 pages, about 4 hours of reading

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About this book

Linear algebra is a pillar of machine learning. You cannot develop a deep understanding and application of machine learning without it. In this laser-focused Ebook, you will finally cut through the equations, Greek letters, and confusion, and discover the topics in linear algebra that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover what linear algebra is, the importance of linear algebra to machine learning, vector, and matrix operations, matrix factorization, principal component analysis, and much more.

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