Linear Algebra for Machine Learning (7-Day Mini-Course)

Last Updated on August 9, 2019

Linear Algebra for Machine Learning Crash Course.

Get on top of the linear algebra used in machine learning in 7 Days.

Linear algebra is a field of mathematics that is universally agreed to be a prerequisite for a deeper understanding of machine learning.

Although linear algebra is a large field with many esoteric theories and findings, the nuts and bolts tools and notations taken from the field are required for machine learning practitioners. With a solid foundation of what linear algebra is, it is possible to focus on just the good or relevant parts.

In this crash course, you will discover how you can get started and confidently read and implement linear algebra notation used in machine learning with Python in 7 days.

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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.

• Update Mar/2018: Fixed a small typo in the SVD lesson.

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