Stanford's CS230 Deep Learning course, taught as a graduate-level class covering neural networks, CNNs, RNNs, and practical deep learning engineering. Lecture videos and course materials are publicly available on YouTube.

Commenters point to it as a rigorous, theory-heavy option, with one noting they took it through Stanford's SCPD program.

On Reddit (3)

1. RecommendsPristine_Recording97r/learnmachinelearning2021in “Noobie here”▲ 4

   Stanford uploads all their machine learning courses to Youtube. They have courses for Machine Learning, Deep learning, NLP, Computer Vision. I recommend checking them all out. They give you a very thorough understanding of theory. You can google to get to the courses homepage. There you will find…

2. Recommendss_basur/learnmachinelearning2020in “Online ML courses that are more theoretical and mathematical?”▲ 1

   If you don't care about certifications from the online courses, then I'd suggest the CS231n by stanford on CNN, CS230 etc. The Coursera specialization on deep learning is also good. I am currently doing that one as well. However, this one isn't too math-heavy and brushes over some topics.

3. Mentionss0ulmachiner/MachineLearning2019in “[D] How to break into ML research after working in industry for a few years?”▲ 3

   I'm in similar situation with you, so I want to give my opinions, hope it helps. ​ Remove 1 and 5 out of your list, they're useless and just distraction. Entering a ML related Master program will make you spend a lot of time on courses unrelated to ML, and datascience almost has no…

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