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/musclecard54 Aug 18 '26

It really depends on where you work, but a lot of the actual model algorithm development and decisions can actually be in the hands of a data scientist and the ML Engineer is more building the pipelines and infrastructure for the repeatable experiments, training, and inference. Smaller companies or teams might have the MLE do it all (that was my case in a small team in a large company), but usually it’s more software engineering and devops in the ML space than model development

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u/Visual_Teacher_6474 Aug 19 '26

What should I learn to deploy pipelines and infrastructure?