jonkrohn/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
This project provides comprehensive learning materials in mathematics, statistics, and computer science that underpin modern machine learning techniques. It includes structured lessons, code notebooks, and exercises across subjects like Linear Algebra, Calculus, Probability, and Algorithms. The content is designed for aspiring or practicing data scientists and machine learning engineers who want to deepen their theoretical understanding beyond using high-level software libraries.
4,612 stars. No commits in the last 6 months.
Use this if you are a data scientist or ML engineer looking to build a strong theoretical foundation in the mathematical and computational principles behind machine learning.
Not ideal if you are solely interested in applying machine learning models using existing libraries without understanding their underlying mechanics.
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Nov 20, 2024
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