Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge. That's fine.

Realize you won't master data structures until you are working on a real-world problem and discover that a hash is the solution to your performance woes.

The key to a solid foundation in data structures and algorithms is not an exhaustive survey of every conceivable data structure and its subforms, with memorization of each's Big-O value and amortized cost.

If you just have a single problem to solve, then fine, go ahead and use a neural network. But if you want to do science and understand how to choose architectures, or how to go to a new problem, you have to understand what different architectures can and cannot do.

How to use your leisure time is the biggest problem of a ballplayer.

If you are a woman with your own money, you have confidence. You have the pick of the litter.