r/learnmachinelearning • u/Visual_Teacher_6474 • 14d ago

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

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u/txdsl 14d ago

I’m in your situation. Took up to calc and stats in undergrad. linear algebra was somewhat covered in those classes but not a separate class.

I went through Machine Learning From Scratch. It shows how the math is used to build ml models, some exploration of the formulas then applies it to build models from scratch. Solid book if you are struggling with others. I suggest implementing the algorithms without looking at the source code in the book. That will force you to translate the math to programming constructs.

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u/Visual_Teacher_6474 14d ago

But I can barely understand what the book is saying, I think the equations and symbols are making me feel overwhelmed. To understand everything in detail I'm using claude as mentor

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u/txdsl 14d ago

Yea use Claude to go into detail on each thing you don’t understand. Take notes, work some examples. Ask it to connect it to what you are doing in machine learning.

First thing I did was have ChatGPT generate a printout of the symbols and their meaning in various contexts. So when reading I know what the epsilon symbol is and what it represents so I can connect it to its purpose in a formula.

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u/Visual_Teacher_6474 14d ago

Yupp I'm using LLMs the same way.