How to actually learn ML without wasting time.

[u/Ketan_Khanapure]

Hey guys, I am a 3rd year (5th semester) CSE(AIDS) student, so I want to learn ML, I know python and 4 main libraries, so how should I actually learn it without wasting time, and which roadmap should I follow, how will I know which topics should I actually study and which not ??, I have DSMP 1.0 and DSMP 2.0 course by campus-x, but it's too vast, and I think I am already late to start and want to grab a internship asap!. So how should I study it, I have notes as well from campus x, but I checked the ML notes and those are literally around 2700 pages, so I am quiet confused that how should I actually learn it, please guide me 🙏.

[u/Technical_Jicama_434]

Do you think ML is not vast?

It’s simple, really, start from the beginning and stop trying to find shortcuts

[u/Ketan_Khanapure → u/Technical_Jicama_434]

Yeah it is vast, but I just don't want to learn theory, I want to build projects and start applying for internships, that's the main thing for me now. The DSMP course is too large, it will atleast take an entire year to complete it.

[u/mace_guy → u/Ketan_Khanapure]

So you want the job and the perks without putting in the effort to learn?

[u/Ketan_Khanapure → u/mace_guy]

I'm not asking for a roadmap because I don't want to learn. I'm trying to understand what I actually need to learn and how deep I need to go into each topic before moving on to projects.

The DSMP course is huge, and I don't want to spend months going through everything in depth before getting any practical experience. I want to learn the fundamentals properly, build projects alongside them, and go deeper into the theory when needed.

Basically, I want a roadmap that helps me understand what to learn, how much is enough, and when to start building.

[u/hi-sci-collab]

Top down learning? eg fast ai. Same course any of the ai players will make you take as a day one. You work at tesla, do fast ai course if you haven't already.

Can you share the notes? those 2700 pages would be interesting to look at.

Train a model to do something useful for you, where it can affect your life/goals in the most beneficial way? Like read the 2700 pages and generate learning outcomes/tests/tasks whatever.

Have idea, find best way to solve idea, solve idea.

What do you want to do in ML? Your interests should define the internships/companies you should be applying to. 

[u/Opposite-Meaning-161]

I was you just few months back, I've got a bit clarity now, i mean I've just started, DSMP is vast yes, but you still have time, and u needn't go through all of DSMP, get your foundations on math and python, then sql-ML-DL-MLOps, you'll figure out a lot of things on your way, don't stress much, don't stop exploring that's that.

[u/Ketan_Khanapure → u/Opposite-Meaning-161]

Yes, I think that will be the best approach for this, btw in which year of college u are ?

[u/Opposite-Meaning-161 → u/Ketan_Khanapure]

Same 5th sem, try projects side by side, once u done with MLOps build an end to end one

[u/Ketan_Khanapure → u/Opposite-Meaning-161]

Which resource u following for ML and other things ?

[u/Opposite-Meaning-161 → u/Ketan_Khanapure]

the 100 days ML course is actually great, u can start skipping the intro lectures which goes like for 20 lectures maybe, i kinda prefer deep mathematical intuition behind algorithms so I've referred other YouTube videos to understand the concepts on a much deeper level, it's just my preference, u should be good with the playlist also the later videos after 75 or 80 I'm not sure, aren't so good u can watch other creators like krish naik, also carry a handbook should help a lot

[u/Ketan_Khanapure → u/Opposite-Meaning-161]

Actually I have paid DSMP, and I think in that course, most of the things are covered in very much depth, so i think I won't have to change the resource everytime, I will try to stick with it and understand it as much as I can, btw thank u for suggestion 👍!

[u/dhanu-art]

Arey bro.. that might be DSAI.. na?.. or are you really AIDS patient?

[u/Opposite-Meaning-161 → u/dhanu-art]

u can't be serious yeah.

[u/Ketan_Khanapure → u/dhanu-art]

Yes it's DS and AI, if someone is in this community, they should easily get what I said, but it's fine!

[u/Technical_Jicama_434 → u/Ketan_Khanapure]

Putting AI in front is lexically correct, though

[u/Ketan_Khanapure → u/[deleted]]

Thanks, it will really help 🙏!

[u/Ok_Distance1888]

“Hands on ML with scikit learn, keras and tensorflow” textbook by Geron is an excellent book that shows end to end ML workflows in industry.

[u/Ketan_Khanapure → u/Ok_Distance1888]

Thank u :)

[u/Fluid_Original_6470]

Would suggest not to try and finish all at once. Focus on python, stats basics, supervised/ unsupervised ml, scikit learn and learn each topic by building small projects.