10 Examples of Linear Algebra in Machine Learning - Machine Learning Mastery

Linear algebra is a sub-field of mathematics concerned with vectors, matrices, and linear transforms. It is a key foundation to the field of machine learning, from notations used to describe the operation of algorithms to the implementation of algorithms in code. Although linear algebra is integral to the field of machine learning, the tight relationship is often left unexplained or explained using abstract concepts such as vector spaces or specific matrix operations. In this post, you will discover 10 common examples of machine learning that you may be familiar with that use, require and are really best understood using linear algebra. In this post, we will review 10 obvious and concrete examples of linear algebra in machine learning.