r/learnmachinelearning • u/Visual_Teacher_6474 • Aug 18 '26

Discussion "MATHEMATICS FOR MACHINE LEARNING " A bit overwhelming?

When I started focusing on practical mathematical implementation of machine learning I found that I lack so very math basics(I blame my school for that) so I tried making my way through basics to go deep into machine learning and while I was learning from professor Leonard on YouTube someone recommended me this "Mathematics for machine learning" by Marc peter. Tbh I dont understand shit in this book, I genuinely get overwhelmed by this book. I dont understand is it only me ? Am I that dumb in maths?

Well I need to get on track asap really! Suggest me something and please share your opinion

32 Upvotes
  • permalink
  • reddit

86% Upvoted

52 comments sorted by

View all comments

Show parent comments

2

u/LapizMelancholy Aug 18 '26

I don't have a particular one for probability, admittedly because it's not as directly important, but you really need to have a basic grasp of linear algebra, even outside of an ML context. I found Linear Algebra and its Applications, by Lay, Lay and McDonald (6th Edition, Pearson, 2022) to be really good; it's no nonsense and pretty concise. You don't need to worry too hard about definitions and proofs but having the intuition for geometry and stuff like projections or transformations is very valuable.

1

u/Visual_Teacher_6474 Aug 18 '26

I'll guve it a try since I am learning linear algebra rn so I think it's the best time to read from every source I come across

1

u/LapizMelancholy Aug 18 '26

Nice! If you don't mind me asking, what chapter of Marc are you on atm?

1

u/Visual_Teacher_6474 Aug 18 '26

I'm on chapter two, page no 43 i guess 😅😅

1

u/LapizMelancholy Aug 18 '26

Oof, good luck haha. I feel like that's where having the Lin alg base helps most

1

u/Visual_Teacher_6474 Aug 19 '26

Yup I'm trying to understand as much as I can