@DanKornas: Stop learning ML math from random tabs. Mathematics for Machine Learning is a curated GitHub collection of books, paper…

Stop learning ML math from random tabs. Mathematics for Machine Learning is a curated GitHub collection of books, papers, video lectures, and math basics for learning and reviewing the math behind machine learning. It helps you build a stronger foundation by grouping reliable resources around the concepts ML engineers keep running into: linear algebra, calculus, probability, statistics, information theory, matrix calculus, and deep learning math. Key features: • Books first – points to Mathematics for Machine Learning, Deep Learning math basics, Probabilistic ML, Bayesian modeling, and deep learning math references • Papers included – links focused reads like matrix calculus for deep learning and an overview of mathematics in AI • Video lecture paths – includes multivariate calculus, linear algebra, and CS229 lecture playlists • Math basics section – collects statistics, probability, information theory, linear algebra, and calculus primers • Short notes per resource – each entry gives context so you can decide what to open next Free public GitHub repo. Link in the reply