This document outlines the core topics in machine learning including foundational mathematics, supervised and unsupervised learning techniques, Python programming skills, and data mining methods. It groups these topics from basic to intermediate to advanced levels, covering essential mathematical and statistical concepts, core machine learning algorithms, optimization methods, and data processing strategies.