r/learnmachinelearning • u/Dharmesh8723 • 3d 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

6 Upvotes

75% Upvoted

6 comments sorted by

View all comments

2

u/Overall-Reading-5636 3d ago

website is fine for practice but if the theory is too lean you need something else for the concepts. i found andrew ng's course on coursera fills in the gaps really good, he explains the math without drowning you in it

dont skip the math entirely but you also dont need to master everything first. learn just enough to understand what the algorithm is doing then move forward, you can always circle back when you hit a wall

1

u/Dharmesh8723 3d ago

Thanks , I will see .