What Are the Most Interesting Topics in Machine Learning?

A lot of times these aren't based on a explicit features. A fine grained valuation, being able to really understand the areas in my system that are under performent is key. I think there are some companies now, a helicka rise and a few others that are r definitely a placing the value onth valuation store or things like that. And evaluation can feel so one dimensional, but there's so much happening in that spaceand so much exciting stuff. But i'm not evengng to talk about a evaluating in real time, right once things are in production,. because then that becomes the whole cycle for, should i be retraining? What? The new data that's

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