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Ashwin Kumar
Ashwin Kumar

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Best Free Resources to Sharpen Your Math Skills for Machine Learning!

Hey GuysπŸ‘‹

I’ve compiled a list of free, high quality resources to help you sharpen your math skills and gain confidence tackling ML algorithms. Check them out:

YouTube Courses πŸŽ₯

  1. Professor Leonard – Clear and detailed explanations of Algebra, Calculus, and Statistics. Perfect for mastering the basics. πŸ“š
  2. 3Blue1Brown – Beautiful visual animations simplify even the most complex math concepts. 🎨
  3. Mathematics for Machine Learning (3 Courses in 1) – A comprehensive deep dive into linear algebra, calculus, and probability. πŸ”’
  4. College Algebra with Python Code – Learn college algebra concepts with real Python coding examples. πŸ“ˆ
  5. Mathematics of Neural Networks – Understand the mathematical core of neural networks, including matrix multiplication and optimization. 🧠
  6. Calculus 1 – Full College Course – Ideal for mastering calculus, essential for gradient descent and other optimization techniques. πŸ”„
  7. Statistics - A Full University Course on Data Science Basics – A detailed university-level course covering statistics for data science. πŸ“Š
  8. Statistics and Probability Full Course – Comprehensive guide to statistics and probability for data science enthusiasts. 🎲
  9. Statistics Full Course for Beginners – A beginner-friendly course perfect for those starting out in data science. πŸ‘¨β€πŸ«

Free Books πŸ“š

  1. Mathematics for Machine Learning (Free PDF) – A fantastic, in-depth resource for anyone serious about learning the math behind machine learning. This book covers linear algebra, calculus, and more!
  2. Think Stats (Free Download) – An introduction to probability and statistics for data scientists.
  3. Linear Algebra Done Right (Free) – A clear and approachable book for learning the essentials of linear algebra.

Blogs πŸ“

  1. Introduction to Statistics for Data Science – A fantastic primer for understanding how statistics fits into the data science field.
  2. The Mathematics of Machine Learning – A step-by-step guide that breaks down essential math concepts needed for ML.
  3. Top 10 Math Skills for Machine Learning – This article explains the key math skills every data scientist needs.

Free Courses πŸ’»

  1. Harvard Free Mathematics Courses – A collection of free math courses from Harvard, covering a wide range of topics from algebra to advanced calculus.
  2. MIT Mathematics Courses – Dive into free courses from MIT’s OpenCourseWare on subjects like linear algebra, differential equations, and more.
  3. Alison Free Online Mathematics Courses – A variety of free courses covering different areas of mathematics, including statistics and calculus.

Feel free to share any other great resources you’ve come across in the comments. Happy learning! πŸŽ‰

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