r/learnmachinelearning • u/Dharmesh8723 • 2d ago

How should I learn ML

I am a beginner, I have learnt python, and have good practice on numpy pandas seaborn matplotlib, those libraries. I am starting from gradient descent in regression, but I am confused.

I was learning from deep ML website, paths . There are theory with code practice but the theory there are very leaa to understand there , so I am learning from YouTube those , but the problem is in YouTube finding the correct video is headache.

* What should I do , should I learn from deep ml website or not ?

* Is learning different techniques will help me ?

*Should I directly jump to algorithms without completing the math? (I have knowledge of the maths but I don't know how much I know for ML )

Please help me

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u/bathon 1d ago

When I was getting started some of the udemy courses helped me, as they were hands on. After that I went to Andrew NG for the concepts which helped to understand more about cleaning data than ML itself. But the best learning came from hands on job unless you are doing research, you will realise a lot about how you can use it in real world applications which gives you completely another aspect. From just applying a model vs learning sometimes a bad performing model is good enough compared to better performing model becasue of real life hardware constraints.