I've recently gone through Karpathy's Zero-to-Hero course (https://karpathy.ai/zero-to-hero.html) and the content is just superb. What other courses like this exist?
(I'm doing the Denero version: https://cs61a.org/denero.html) If you pass the command-line flag: `--local` you can run the tests without triggering the submission system.
Hastie and Tibshirani's class on Statistical Learning is a must for someone that wants to learn about ML. All of the classes are available here (https://www.youtube.com/playlist?list=PLoROMvodv4rOzrYsAxzQy...) and the book recently got a Python version to complement the original R classes.
If you have any interest in functional programming and higher-order programming, or understanding the functional parts of languages you use now, then I'd say yes. At least as the course was structured a decade ago or whenever I took it. A lot of "non-functional" languages have functional influences. If you'd like to get a better idea of what those are and how they can be used more effectively and for higher-order programming, it would be a good course to take.
In addition to what the other comment says, I found that his class drastically sped up my ability to pick up new programming languages. The class teaches an underlying "grammar" that's common to all programming languages, almost like a linguistic approach. I also learned a "meta-language" by which to speak about (and effectively Google/research) any programming languages.
1. "Best Lecture Series": https://news.ycombinator.com/item?id=34591291
2. "Top Coursera Courses": https://news.ycombinator.com/item?id=25245125
3. "Best MOOCs": https://news.ycombinator.com/item?id=16745042
4. "Coursera Courses": https://news.ycombinator.com/item?id=22826722
There are some great recommendations and some of them are among the best MOOCs that I have ever taken.
https://learningmusic.ableton.com/
https://learningsynths.ableton.com/
https://cs61a.org/
(I'm doing the Denero version: https://cs61a.org/denero.html) If you pass the command-line flag: `--local` you can run the tests without triggering the submission system.
accompanying book:
https://www.composingprograms.com/
The moocs from University of Helsinki are really good. Here's the current Python one:
https://programming-23.mooc.fi/
And there's their web dev course, called Full Stack Open:
https://fullstackopen.com/en/
If learning web dev, you can't go wrong with The Odin Project:
https://www.theodinproject.com/
Statistics 110 Probability: https://projects.iq.harvard.edu/stat110/youtube
And this guy (Erik Demaine) is an absolute gem for introductory algorithms.
Introduction to Algorithms: https://ocw.mit.edu/courses/6-006-introduction-to-algorithms...
https://www.statlearning.com/
* https://ebookfoundation.github.io/free-programming-books/boo...
* https://ebookfoundation.github.io/free-programming-books/boo...
Online courses: https://ebookfoundation.github.io/free-programming-books/cou...
For guitarists, Paul Davids’ courses through his website are excellent
[0]: https://www.executeprogram.com/courses