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A repository meant to revise all the mathematics concepts needed and used in the domain of Artificial intelligence, Data Science etc

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CodeNaveen-in/Math-for-ML

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πŸ“Š Mathematics for Machine Learning

Maths Animation

A modular and scalable repository of essential math for Data Science, Machine Learning, and AI.
Built for consistency, revision, and clarity β€” across courses and beyond.

🧠 Topics Covered

  • Linear Algebra β€” vectors, matrices, eigenvalues, SVD
  • Calculus β€” limits, derivatives, gradients, integrals
  • Probability & Statistics β€” distributions, Bayes’ theorem, inference
  • Optimization β€” cost functions, gradient descent, convexity
  • Discrete Math β€” logic, sets, graphs
  • Numerical Methods β€” approximation, iteration, stability

πŸ“ Repo Structure

Each topic folder includes:

  • README.md β†’ Index of the repo
  • notes.md β†’ Key concepts & formulas
  • examples.ipynb β†’ Python demos
  • exercises.md β†’ Practice problems
  • Tagged by source (IITM BS or others) for traceability

πŸ“š Resources

  • IITMBS Course: Course from IIT Madras in programming and data science degree.
  • GFG Course: Coding and DSA practice course by GeeksforGeeks.
  • Khan Academy: Online platform for learning mathematics.

πŸš€ Goals

  • Ensure consistency across courses and future learning
  • Enable quick revision before exams, interviews, or projects
  • Link math fundamentals directly to ML applications

🀝 Contributions

Open to ideas, tweaks, and improvements β€” fork, clone, or drop a PR!

Made with ❀️ by Naveen Garg

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A repository meant to revise all the mathematics concepts needed and used in the domain of Artificial intelligence, Data Science etc

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