by calebjosue on 4/4/24, 3:21 AM with 4 comments
Back in 2017, I enrolled into Deep Learning Specialization by Andrew Ng, via Coursera. I finished four of five courses. I barely remember anything. [1]
In 2018 I got into Udacity's AI programming with Python, finished the course, but I didn't exercised the thing after the end of course. [2]
In 2020 I bought the book "Artificial Intelligence : A modern approach" (Fourth edition was just releases) by Norvig and Russell (Didn't read the book).
Now I am seeing all sorts of AI applications here and there, some cats dancing out of a picture I suppose. And I would like to know what's new in the field.
Yeah, your main recommendation may be to commit to finish the courses I start, I know. These days I am doing just that. But I am revisiting some elementary Math topics instead like Algebra and Geometry (Which I recently finished a book in the Gelfand series).
What's the hottest training material right now on AI? I think I will need to know some advanced Calculus prior to that, right?
I just saw some "Elements of differentiable programming" shared over here just the other day, but I suppose the thing divide itself into designing the algorithms, some other people train models using existing algorithms, and then there exists consuming existing APIs. to help you recommending something, I am the kind of person interested in "How the things works" (Even when I am not working right now, I don't have a job, and I am looking for one just in case you have something for me). But yeah. Appreciate your input.
Thanks!
[1] https://coursera.org/share/09361d90a6fc1c987af0f89502f76c9e [2] https://www.udacity.com/certificate/DJ7YNX9X
by p1esk on 4/4/24, 4:30 AM
Based on what you wrote, my recommendation is: find something you’re actually interested in, and learn that instead. AI ain’t it. And if there’s nothing you’ve interested in enough to put an effort into, that’s ok too. Have a beer, watch some Netflix, be like most people.
Hope this helps.