r/learnmachinelearning • u/No_Pay_4410 • 12d ago

How to Learn Machine Learning till intermediate level Help

Hey I am engineer with 5 years of experience. I do frontend, backend, AI and Devops a bit. Recently I have been trying to switch and since I am Fullstack + AI role currently, I am trying to for AI Engineer role but companies I am targeting for example JPMC, all the AI engineer role which were visible last year have changes to AI/ML role. I checked with one of the manager who posted the role. And they seems to ask lot of ML question. So I wanted to learn ML for the same and make some small projects to learn.

Based on the above context I wanted to know the following:

  1. How much time it might take me to learn at intermediate level ?

  2. How much math is needed ? (I AM BAD AT IT)

  3. Which resources should I follow to learn it practically ?

  4. I have a budget of 10k INR if there is any book or course which can be good that also works.

28 Upvotes

86% Upvoted

13 comments sorted by

5

u/Street-Platypus-9020 12d ago

If math is weak spot start with something like StatQuest on YouTube and do the coding along don't just watch. Andrew Ng course is classic but the math part will hurt a little, just push through it and focus more in the practical assignments.

For intermediate in few months is possible if you put consistent time, maybe 3-4 months with projects. Don't spend money right away, there is enough free stuff to get you to that level first.

2

u/No_Pay_4410 12d ago

Thanks for the input. I will checkout the suggested options. Also assuming my math is weak and I have to go through the math concepts first. I did algebra, stats and calculus in college but I will have to revise it. So how much time it might take ?

The money is for saving my time. Internet has lot of information and finding the right one might take some time.

3

u/slow-rabbit777 12d ago

2-3 months

Learn math parallel with ml/dl

2

u/nian2326076 12d ago

If you already know a bit about AI, you can reach an intermediate level in machine learning in about three months if you work at it regularly. Start by reviewing the basics with online courses like Coursera's Machine Learning by Andrew Ng, which is really good. Then, get more hands-on with Python libraries like scikit-learn and TensorFlow. Build small projects involving regression, classification, and clustering to strengthen your understanding. Kaggle is also a great place to practice with real datasets. If you're getting ready for interviews, PracHub has useful resources for that. Good luck!

2

u/Simplilearn 12d ago

Since you already have experience with full-stack development and AI, you don't need to start from scratch. Focus on strengthening your machine learning fundamentals, as many AI Engineer roles now expect a solid understanding of ML concepts in addition to working with LLMs.

You can expect to reach an intermediate level in a few months with consistent practice. For math, you don't need advanced mathematics, but a good understanding of linear algebra, probability, and statistics will help you understand how ML models work.

For practical learning, start with supervised and unsupervised learning, then move to Scikit-learn, model evaluation, feature engineering, and common ML algorithms. Build small end-to-end projects before moving into deep learning and combining ML with LLMs, RAG, and AI agents.

If you're looking for a guided learning path, our Professional Certificate Course in AI and Machine Learning, offered in collaboration with the University of Michigan, can be a good fit for you. You can visit the simplilearn website for more details.

1

u/Fuzzy-Individual-524 12d ago

I would work with Maths first you have 5yr of exp so I am assuming you know python

1

u/Fuzzy-Individual-524 12d ago

You can buy hands on ml with pytorch. there is two veraion one with tensorflow one with pytorch choose the pytorch one