My work revolves around statistics and linear algebra with maybe a little bit of calculus.
The thing with math is that you remember it only if you regularly practice it.
I have some great references which I suggest for timely repetitive referencing.

• Lumen Learning for Basic Math Refresher 🔃
• Nice Blog for refreshing statisics 👌
• Probability and Statistics for Computer Scientists 👈 Use as Reference!
• ML Cheatsheet…Still under construction though 🤔
• Probability Cheatsheet 👈
• Statlect online textbook
• Seeing Theory to visualize probability and statistics 😵
• Manga Book for Linear Algebra
• StatQuest by Josh Stramer 👈 This is hands down the best intro YouTube channel for statistics.
  Watch these two playlists:
  Statistics Fundamentals

Machine Learning

• Strang Linear Algebra Notes
• Strang Videos for Above Notes
• Linear Algebra Cheat Sheet
• Linear Algebra by 3Blue1Brown 👈
  This video gives a visual intuition of linear algebra.

• Calculus by 3Blue1Brown
  This video gives a visual intuition of calculus.

• Neural Network Backprop by 3Blue1Brown

You can refer textbooks and solve questions to get a better grounding. But for now, having atleast a basic idea of the various concepts will suffice. 🤷‍♂️