There's so much resources it's hard to pick… If you're already studying CS and like to learn by building, I'd recommend to do that for ML too!

Pick a real problem, try to build a ML solution for it and while doing so keep a list of things you'd like to dig deeper into. Then go back to that list and pick one item to study, and iterate.

Happy to have a chat and give you specific pointers if you'd like (email in profile), I got my master in ML in 2016 and applied it in the industry since.