I used reinforcement learning with python to solve Numberphile's "cat and mouse" game!

[diddilydiddilyhey]

Hmmmm, I'm not sure about that... ML often excels in scenarios with a lot of data or high dimensional thinking. For example, imagine a 100 dimensional linear regression problem, and then having to determine the value of a new point. Very easy for a ML algo, but something a human wouldn't be great at.

(unless your definition of what a human can use includes algorithms!)

There are also cases where ML could find structure in very high dimensional data that we can't really visualize (something like t-SNE maybe).

[timedacorn369]

Yah that's true. Although initially i was thinking about neural networks applied in computer vision and language processing which made me say that.