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Ashwin Kumar
Ashwin Kumar

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

Hey Guys๐Ÿ‘‹

Iโ€™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 ๐ŸŽฅ

  1. Professor Leonard โ€“ Clear and detailed explanations of Algebra, Calculus, and Statistics. Perfect for mastering the basics. ๐Ÿ“š
  2. 3Blue1Brown โ€“ Beautiful visual animations simplify even the most complex math concepts. ๐ŸŽจ
  3. Mathematics for Machine Learning (3 Courses in 1) โ€“ A comprehensive deep dive into linear algebra, calculus, and probability. ๐Ÿ”ข
  4. College Algebra with Python Code โ€“ Learn college algebra concepts with real Python coding examples. ๐Ÿ“ˆ
  5. Mathematics of Neural Networks โ€“ Understand the mathematical core of neural networks, including matrix multiplication and optimization. ๐Ÿง 
  6. Calculus 1 โ€“ Full College Course โ€“ Ideal for mastering calculus, essential for gradient descent and other optimization techniques. ๐Ÿ”„
  7. Statistics - A Full University Course on Data Science Basics โ€“ A detailed university-level course covering statistics for data science. ๐Ÿ“Š
  8. Statistics and Probability Full Course โ€“ Comprehensive guide to statistics and probability for data science enthusiasts. ๐ŸŽฒ
  9. Statistics Full Course for Beginners โ€“ A beginner-friendly course perfect for those starting out in data science. ๐Ÿ‘จโ€๐Ÿซ

Free Books ๐Ÿ“š

  1. Mathematics for Machine Learning (Free PDF) โ€“ 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) โ€“ An introduction to probability and statistics for data scientists.
  3. Linear Algebra Done Right (Free) โ€“ A clear and approachable book for learning the essentials of linear algebra.

Blogs ๐Ÿ“

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

Free Courses ๐Ÿ’ป

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

Feel free to share any other great resources youโ€™ve come across in the comments. Happy learning! ๐ŸŽ‰

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