🔖 Interactive textbook on probability theory and statistics 📊✨

A super-intuitive site where you can visually study distributions, sampling, and statistical concepts. 📈🎲

No tons of formulas and boring theory — everything is demonstrated through interactive examples and simulations. 💻🔬

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https://seeing-theory.brown.edu/

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Found an easy way to learn math for ML: Mathematics for Machine Learning 🎓📚

This is a curated collection on GitHub, including books, research papers, video lectures, and basic materials on math for studying and reviewing the mathematical foundations of machine learning. 📖📊

It helps build a stronger knowledge base by bringing together trusted resources around topics that machine learning engineers constantly encounter: linear algebra, mathematical analysis, probability theory, statistics, information theory, matrix calculus, and deep learning mathematics. 🧮🤖

Free public repository on GitHub. 💻✨

https://github.com/dair-ai/Mathematics-for-ML

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