Optimization Essentials for Machine Learning - Analytics Vidhya

There are 4 mathematical pre-requisite (or let's call them "essentials") for Data Science/Machine Learning/Deep Learning, namely: In fact, behind every Machine Learning (and Deep Learning) algorithm, some optimization is involved. Ok, let me take the simplest possible example. Everyone familiar with machine learning will immediately recognize that we are referring to X1 as the independent variable (also called "Features" or "Attributes"), and the Y is the dependent variable (also referred to as the "Target" or "Outcome"). Hence, the overall task of any machine is to find the relationship between X1 & Y. This relationship is actually "learned" by the machine from the DATA, and hence we call the term Machine Learning.