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📊 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 — across courses and beyond.

🧠 Topics Covered

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

📁 Repo Structure

Each topic folder includes:

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

📚 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.

🚀 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 — fork, clone, or drop a PR!

Made with ❤️ by Naveen Garg

About

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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