OK so I'm going to share here something that has been bothering me.
I am a CS graduate and I just started my Masters in ML. What I want to do is become, a really, really good ML scientist/expert/whatever.
Now, I am a big fan of "practice makes perfect", and the 10000 hour rule. What has been bothering me though is:
How does one "practice" in Machine Learning?
In other disciplines it's pretty straightforward. If you want to become a good weight lifter, you lift. If you want to become a great violin player, you practice violin.
How does one become "better" at Machine Learning though?
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