dair-ai/Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
This is a curated collection of resources designed to help you understand the mathematical principles behind machine learning. It provides books, papers, and video lectures covering topics from algebra and calculus to statistics and probability. Anyone looking to build a deeper theoretical understanding of how machine learning models work, rather than just using them, will find this useful.
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Use this if you are a data scientist, machine learning engineer, or researcher who wants to strengthen your foundational mathematical knowledge to better comprehend and develop AI models.
Not ideal if you are looking for practical, code-based tutorials or tools to apply machine learning without delving into the underlying mathematical theory.
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