Linear Algebra for Machine Learning

Last Updated on August 15, 2020

You do not need to learn linear algebra before you get started in machine learning, but at some time you may wish to dive deeper.

In fact, if there was one area of mathematics I would suggest improving before the others, it would be linear algebra. It will give you the tools to help you with the other areas of mathematics required to understand and build better intuitions for machine learning algorithms.

In this post we take a closer look at linear algebra and why you should make the time to improve your skills and knowledge in linear algebra if you want to get more out of machine learning.

If you already know your way around Eigen Vectors and SVD, this post is probably not for you.

Kick-start your project with my new book Linear Algebra for Machine Learning, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

Linear Algebra For Machine Learning

Linear Algebra For Machine Learning
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