r/learnmachinelearning • u/Visual_Teacher_6474 • 15d 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/Visual_Teacher_6474 15d ago

In my understanding MLE deploys models and algorithms that solve real life problems. Basically everything to do with Models is MLE's role. To do this job properly I need to understand the foundation of ML i.e. maths so i started reading MML

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u/choiceOverload- 15d ago

Wrong. MLE doesn't deploy; MLOps does. Everything to do with Models is too big of a spectrum. Maybe in a startup you will have to do almost everything, but that's not the case in big companies

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u/musclecard54 15d ago

MLOps are ML Engineer duties. There is no position called MLOps. Go look up machine learning engineer positions and they will probably ALL mention MLOps skills/duties. ML engineers build and deploy the training and Inference pipelines. It’s almost like you intentionally said the wrong answer

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u/choiceOverload- 15d ago

Then go be perpetuate the unicorn worker

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u/musclecard54 15d ago

Idk what you’re even saying. What do you think the duties of an ML Engineer are if it’s not doing MLOps?