There's also Coursera courses that are much of the same content (taught by Andrew Ng as well in many cases). They have specializations for Machine Learning [1], Deep Learning, etc. These are paid via Coursera subscription, but financial assistance is available
I recently completed the specialization with Andrew Ng and think it’s a fantastic introduction to ML. It has a good blend of theory, practical tips, and coding.
If anyone is interested, I’ve published detailed notes and my submissions for the lab assignments:
Honestly, Andrej Karpathy's video series on YouTube is good enough to keep me from even looking at for-profit courses. That attitude might change as I get further along in them, but for now I'm a big fan of his pedagogical approach.
You might be better off looking at MIT OCW search, and selecting video lectures, looking at standford youtube, checking out the 2019 videos https://ai.stanford.edu/stanford-ai-courses/
Most of these look like they're just the slides and syllabus, correct me if I'm wrong.
I am in no way affiliated to Stanford. I don't think you can take the courses for free, but you can sure as hell read through the slides for many of the courses. Cheers!
There's also Coursera courses that are much of the same content (taught by Andrew Ng as well in many cases). They have specializations for Machine Learning [1], Deep Learning, etc. These are paid via Coursera subscription, but financial assistance is available
[1] https://www.coursera.org/specializations/machine-learning-in...