5 Reasons to Learn Linear Algebra for Machine Learning - Machine Learning Mastery

Linear algebra is a field of mathematics that could be called the mathematics of data. It is undeniably a pillar of the field of machine learning, and many recommend it as a prerequisite subject to study prior to getting started in machine learning. This is misleading advice, as linear algebra makes more sense to a practitioner once they have a context of the applied machine learning process in which to interpret it. In this post, you will discover why machine learning practitioners should study linear algebra to improve their skills and capabilities as practitioners. Before we go through the reasons that you should learn linear algebra, let's start off by taking a small look at the reason why you should not.