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What are some best free resources to learn ML online? and learn to build own projects and contribute to open source projects?

I have been doing python for too long, but all I have spent in the last few months doing is nothing just fucking around with LLM APIs and building stupid discord bots, and nothing else, I want to get into ML, but I have no god damn Idea how to do it, I was told just to complete my college assignments anad think about this later by some people, but those felt boring and repetitive, and I feel like I have learnt nothing this year except writing boilerplate code over and over again from them, then I started watching Andrew Ng's coursera courses, but I couldn't afford to pay for them so I can't look at the jupyter notebooks, I just watch the videos, learn about them, take notes, try to understand the maths behind them, also I just learnt how to use git a few weeks ago and still messed it up (I still can't figure out how to stop it from uploading the .env files), now I feel a little frustrated about not being able to learn anything new, but I really want to, and I currently, I got really interested in GSoC, and I'd really love to contribute to some actual real projects with other developers, but I feel like I have no skills except writing boilerplate in Python, Java, C and JS, I want to get into machine learning so I can make something useful and maybe contribute in open source projects related to such

 

What should I do?

Thanks in advance

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Get good at math and ML/AI theory, and then you may know enough about them (few years at the university). It's not easy, not very flashy.

 

If you are into Python and you want a commercial aspect of it then get a job I would recommend looking into for example web frameworks. You can check local job offers to see what's most popular, most in-demand.

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6 hours ago, riklaunim said:

Get good at math and ML/AI theory, and then you may know enough about them (few years at the university). It's not easy, not very flashy.

 

If you are into Python and you want a commercial aspect of it then get a job I would recommend looking into for example web frameworks. You can check local job offers to see what's most popular, most in-demand.

I've been looking into the web frameworks to make front ends for some of the things I made (everything I made so far in python is on a terminal), I've been looking into remote jobs but not much luck, but I want to work with people and learn more than I want a job right now, like I want to be involved in like the making of something and network with smart people around me and learn from them, most companies I keep seeing on LinkedIn for internships just seem to want a web developer

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Take a look at fast.ai's course. It's a fantastic (and free) entry point that teaches ML from an applied perspective first, then goes into theory. But by-and-large, it's goal is to have you make things.

 

Fast.ai is run by Jeremy Howard who's very active in the ML space. The course will have you do a general survey of the ML landscape, which should give you a good idea of what's possible, and what interests you. 

 

I have personally done the previous version of the course (twice) and the latest version (twice). I can personally vouch that no matter what you choose to do in ML the course will be helpful. 

 

PS: stick with git, pretty soon it'll be second nature 🙂

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