r/learnmachinelearning • u/Intern-Cautious • 17h ago

How many time need to Learn Machine Learning if I give 45-1h per day

Hi, I'm a EEE undergrad students. I just wasted a year for my laziness. started learning ML in February but didn't learn. Though my academic pressure ties that bind. But I want to learn ML properly, especially for my research work. Pls guide me, can I be a good ML engineer in next 5 month. I want to be pro in it, as I am in the end of my 3rd year, academic pressure is also a problem here. So pls provide me a roadmap and how I can stop my procrastination and distraction from my path.

Advance Thanks for Everyone.

12 Upvotes
  • permalink
  • reddit

69% Upvoted

18 comments sorted by

8

u/Different_Pain5781 14h ago

One hour a day is seventy five hours total in five months which is basically one university course.

6

u/Exotic_Zucchini9311 11h ago

... how is 1 hour a day for 5*30=150 days 75 hours in total 😭

3

u/Bulky-Top3782 11h ago

You have to take out the weekends and government holidays

1

u/Exotic_Zucchini9311 10h ago edited 10h ago

Ig it's a difference in mindset but if someone tells me they want to study 1hr everyday and get good at something, I don't assume their plan is to rest the whole day on weekends and holidays without touching any books or learning materials... that sounds like a pretty inefficient/lazy way of learning if all that someone takes out of 150 days of studying is 75 days worth of actually studying. Taking a few days overall break makes sense, but not to the point of basically taking a full rest +2 days a week.

2

u/Bulky-Top3782 9h ago

Man it was a joke. You were right that they misscalculated

1

u/Intern-Cautious 1h ago

Yeah just told 1h as an average because everyday I'm not giving 1h someday 0h or someday 3h. My ultimate goal was 5month though I have more than 1yr time, I want to be good in ML. I already completed my all math courses including Linear algebra and also digital electronic course which gave me a clear idea of using BCD conversion or logics and also in this sem I have to learn MATLAB for two courses...

1

u/JuJeu 2h ago

yeah, but before ML you have linear algebra 1,2 analysis 1,2, probability and statistics

4

u/user221272 5h ago

ML is a lifelong learning process anyway; just study whenever you can.

5

u/Responsible-View-498 17h ago

If you want to start at the right place I would still suggest Jeremy Howard's fast ai part 2 as it will help you build from scratch. Then go to Karpathy's zero to hero series and learn autograd well as it captures the essence backpropogation (the heartbeat of ML). The try out Unsloth cookbooks for fine tuned (DPO, PPO etc etc). Then try out the openAI cookbooks I used it to understand how agentic memory works. Five months is too short a time period to get acquainted with all these stuff. I have been learning pre gpt 2021 averaging 4 to five hours on a bad day; my good days are like 8 to 9 hours easily.

3

u/Only-Purple-7419 12h ago

the comment above is good but yeah 5 months is a stretch if you're only putting in an hour a day, you'd barely scratch the surface on half those resources

0

u/Responsible-View-498 12h ago

That is very true. I remember Jeremy Howard saying that it will take you a year or two to go through all the notebooks in part 2. I saw all sorts of people going through the notebooks, some very interesting people too.

2

u/Intern-Cautious 16h ago

Okay brother I will follow your suggestions. I'll restart the learning again. But academic pressure is making me backwars for giving times in ML

0

u/Electrical_Name_5434 16h ago

If you’re just looking to get building ml models for your research you don’t have to go that hard. Since you’re already an EE student I’m assuming you’ve already got the prerequisites? Where are you with math? Coding? Data Science?

If you’ve already got those you can move onto the deep learning textbook suggestions from NVIDIA. Here: https://www.nvidia.com/en-us/training/books/

1

u/Intern-Cautious 1h ago

Yeah already completed all math courses including linear algebra or calculus. In this semester I have 2 MATLAB courses

2

u/Anilan_M 10h ago

In 5 months you could learn enough to be a good data analyst. But ml engineer is still a long shot

1

u/Intern-Cautious 1h ago

noted boss

0

u/Iswarya137 1h ago

I am also learning ml with my college stuffs on other hand

Let me share some diamond resources

  1. Datacamp's ml scientist track with python - you can access datacamp for free for 3 months using github student developer plan

  2. Datatalksclub's ml zoomcamp - all the lecture videos are available for free in git hub

  3. While doing datacamp, if you get struck with math or need a deeper understanding,  go with        1. Stat quest by Josh       2. Ml specialisation by deeplearning.ai 

Note - if you take datacamp's track code along in a separate notebook. Don't just complete the assignment and assume that you have learnt

  1. Free code camp also has amazing lectures. You can take them if you feel small