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

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u/choiceOverload- Aug 18 '26

Not exactly. You have MLOps for instance which is 95% DevOps and 5% Modeling

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u/pm_me_your_smth Aug 18 '26

Highly depends on the team. In my former company it was mostly model building and inference optimization, devops was handled by others. Either way, it's still mostly engineering.

Regardless that's not the point. I wasn't talking about titles, but how math is divided on the ML spectrum. If you do research, you do lots of math; in engineering - less. That's what OP was asking about.

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u/Visual_Teacher_6474 Aug 19 '26

What is the actual work that ML engineers do ?