Back in 2011 I enrolled in the Machine Learning class by Andrew Ng via Coursera (Didn't finish it).
I also got into the AI class, same year via Coursera. By Sebastian Thrun, and Peter Norvig (Didn't finish it). Yeah, I know.<p>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]<p>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]<p>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).<p>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.<p>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).<p>What's the hottest training material right now on AI? I think I will need to know some advanced Calculus prior to that, right?<p>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.<p>Thanks!<p>[1] https://coursera.org/share/09361d90a6fc1c987af0f89502f76c9e
[2] https://www.udacity.com/certificate/DJ7YNX9X