Math Foundations for ML

Linear algebra (vectors, matrices), calculus (derivatives, gradients), probability and statistics — the mathematical toolkit that underpins every ML algorithm. This involves understanding concepts like matrix operations, derivatives, probability distributions, and statistical measures critical for modeling and algorithm development.