Computational Linear Algebra for Coders Review

Last Updated on August 9, 2019

Numerical linear algebra is concerned with the practical implications of implementing and executing matrix operations in computers with real data.

It is an area that requires some previous experience of linear algebra and is focused on both the performance and precision of the operations. The company fast.ai released a free course titled “Computational Linear Algebra” on the topic of numerical linear algebra that includes Python notebooks and video lectures recorded at the University of San Francisco.

In this post, you will discover the fast.ai free course on computational linear algebra.

After reading this post, you will know:

• The motivation and prerequisites for the course.
• An overview of the topics covered in the course.
• Who exactly this course is a good fit for, and who it is not.

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.