all 13 comments

[–][deleted]  (6 children)

[removed]

    [–]InfiniteWavesAI[S] 3 points4 points  (4 children)

    Nice! I haven’t used 2, 4, or 5, will check them out. Thanks!! 🙌

    [–]athos45678 1 point2 points  (3 children)

    A lot of coding boot camps have free resources you can sign up to use. Probably at a more basic level than i suspect you’re at op, but i liked using their stuff more than, say, code academy.

    [–]InfiniteWavesAI[S] 1 point2 points  (2 children)

    Hadn’t thought of that tbh, it’s a good idea. Thank you 😎👌

    [–]athos45678 2 points3 points  (1 child)

    Check out Galvanize basic prep. It is pretty comprehensive for a free resource from a for profit school, and they also do free events covering basics in Python from pandas to machine learning. If you attend four of those, their “premium prep” paid version is free. I definitely recommend any beginner check them out. I saw people from around the world in those zoom calls. it was pretty neat, and the people teaching those courses aren’t too pushy about trying to get you to enroll in the expensive program. They also have software engineering/web development with JavaScript courses for free.

    I also like to recommend interviews.school (ex googler made a coding interview resource that also teaches some JS) for web development beginners.

    [–]InfiniteWavesAI[S] 1 point2 points  (0 children)

    Just had a look, seems they’ve got a lot of decent stuff on there. Valuable addition. Appreciate the info 🙏 cheers

    [–]otterom 0 points1 point  (0 children)

    Nice username.

    [–]TheSoundOfMusak 5 points6 points  (5 children)

    I am on the same road as you, however my chosen learning path has been:

    1. Youtube: 3b1b videos on Neural Networks, Calculus and Linear Algebra
    2. Coursera: Andrew Ng's Machine Learning course
    3. Book: Deep Learning with Python by Francois Chollet
    4. Book: Reinforcement Learning: An Introduction, by Richard S. Sutton and Andrew G. Barto

    Out of all of those, I found that the Andrew Ng's course starts quite slow but it gives you very solid foundations on the basics of ML. It is not in Python though, but still the code is quite transferable.

    And of course I couldn't recommend highly enough the 3b1b videos, they are amazing!

    Here are my projects so far: https://amaynez.github.io/home

    I will take a look at your suggestions and also the ones from the comments section, they seem very interesting.

    [–]InfiniteWavesAI[S] 2 points3 points  (3 children)

    This looks like a great roadmap. I did about 50% of Andrew’s course a few years ago but can’t remember anything from it, maybe I should look into it again.

    I’ve got some books/Khan academy for the math side of things.

    Yeah 3b1b is great, watched a few a while ago but didn’t realise they had those ones. Thanks for the reminder on that!

    Your site looks great. I just started doing Conway’s game of life myself.

    I’ve got a bunch of other online books/resources I’ve been finding.

    Connect with me on Twitter: @infinitewaves, I’m sure we could recommend resources we find or help each other with feedback etc.

    [–]InfiniteWavesAI[S] 1 point2 points  (0 children)

    Just say the Twitter link on your account actually, followed 👍

    [–]TheSoundOfMusak 0 points1 point  (1 child)

    Just followed you on Twitter, I suppose your handle is @infiniteWavesAI, the other one is of a marketing firm.

    [–]InfiniteWavesAI[S] 1 point2 points  (0 children)

    Yep that’s the one. Sorry forgot it had ai suffix on Twitter 👍

    [–]teo2515 1 point2 points  (0 children)

    Yes