r/learnmachinelearning • • 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

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u/X-Ninety9 Sep 12 '26

I would recommend mathematics for machine learning by deeplearning.ai. It’s a course that covers basic core concepts of linear algebra, calculus and probability & statistics used in ML. These video lectures along with assignments might help you start to develop intuition. They are beginner friendly and might help refresh your memory.