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Anuj Wadhwa
Founder And CEO' of ... • 21d
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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Krish Jaiman
Passionate about tec... • 5m
Hi everyone , if you are a beginner in Data Science or wish to start , then this post is for you. Linear Regression is one of the first things you need to learn in ML. It is not just about the code . Code is not the important thing, you can make Chat
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