Top 3 Free Resources to Learn Linear Algebra for Machine Learning - KDnuggets

Mathematics is the core of all machine learning algorithms. And while it isn't a prerequisite to have formal math education in order to become a data scientist, you need to understand the principles of the subject well enough to successfully build models that add value. In an article I wrote previously, I explained the three branches of mathematics that were essential to gain a deeper understanding of ML algorithms -- statistics, calculus, and linear algebra. This article will solely focus on linear algebra, as it forms the backbone of machine learning model implementation. Linear algebra concepts like vectorization allow for faster computation speeds, and are implemented in libraries like Pandas, Scipy, and Scikit-Learn.