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I try to learn math for Machine Learning based on this guide from Reddit.

• How to Prove It - Velleman
• Understanding Analysis - Stephen Abbott
• Linear Algebra Done Right - Sheldon Axler (this book is a treat for anyone who have learned Linear Algebra, I haven’t completely finished it but will continue to read when having free time)
• Introduction to Mathematical Statistics - Robert Hogg, Joseph McKean, Allen Craig
• Convex Optimization - Stephen Boyd - EE364a

Last update: 8-Feb-2021