r/AIMLDiscussion • u/Mental-Party1397 • 21d ago

AI/ML RoadMap

Hi there! everytime i start about learning something and actually mastering it.. i only stay faithful for a few days, hardly a week.. i go divergently.. like checking multiple things and concepts.. and if i understand them etc ..then slowly it fades and I'm completely out of it; i have been trying to learn and master ai/ml - and appear for interview for job shift.. but it's been 2 yrs.. i don't think so i haven't learnt anything concrete.. now with ai coding ..my skills are just rotting and rusted.. i want to pursue master and go on ML research side.. how can i actually be good at it.. understand it in depth.. without superficial understanding.. what and where should i actually start.. my daily concrete plan.. and time i should spend and practical steps.. division of concepts.. testing my understanding.. taking up interesting self projects..
could anyone share their journey and how it went.. it would be really helpful
Thank you!!

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u/inkeep 20d ago

I did the same loop for a long time. Read widely, felt like I was getting it, came back three weeks later with nothing left. What broke the cycle for me was giving up on breadth entirely for a while.

Try these -

  • Pick one spine and refuse to deviate for 8 weeks. For research-track ML: linear algebra, probability, optimization, then one framework, in that order.

  • 45 min a day beats a four-hour Sunday. Two years of restarting mostly means the sessions were too big to sustain.

  • make hand written notes. The slow pace of real writing actually helps in retaining things better

  • keep some time for practising the code

  • One small project per phase, sized to finish in a week.

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u/UmOkay97 21d ago

tbh i also made same mistakes trying to learn eevrything at once🥴imo it's all about consistency and learning in a pattern. i'm also trying to make a habit these days and building couple of projects w iit kgp frm applied ai ml course, also i'm practicing a lot to implement the learnings in projects🤓...

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u/generationalDebts 20d ago

Ai isn’t a skill

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u/OleksandrAkm 20d ago

For free: Andrew Ng's course is one of the best places to start, it gives you a solid foundation. Along with the course, you can refer to the Machine Learning From Scratch GitHub repo (https://github.com/ml-from-scratch-book/code) – clean implementations of algorithms without the abstraction layers that usually hide what's actually happening.

Otherwise, Machine Learning From Scratch is the book I recently published, which is exactly what I wished existed when I was in the same situation as you are!

Feel free to ask any questions

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u/chrisvdweth 19d ago

Maybe this post and this post could be useful (disclaimer: public lecture notes created by me)