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Hey I am on Medial • 3m
it's quite the same for the maths part - linear algebra, Multivariable calculus, statistics and probability, then learn python like numpy, pandas, before ML either you can do data science because ml also deals with a lot of data so it can you a abstract view of what's happening in models after data science or directly start ML lots of mathematics (linear regression, gradient, lots of theorems) make project, move to specialization Deep learning like computer vision, then NLP, RAG ,LLMs, etc etc then you just make projects in robotics, Ai, automation, generative ai
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