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There was a great article called The Space Doctor's Big Idea, published in the New Yorker a few months back. It explained Einstein's theories in the top 1000s English words used in America.

While sone might wave their hands and call this an eli5, it was quite well done and between that and some xkcd comics I was able to learn enough to ubderstand how orbit works and a few other awesome facts.

I am interested in finding something similar for machine learning. I am not embarassed to admit that, Super-Linear Gate and Super-Quadratic Wire Lower Bounds for Depth-Two and Depth-Three Threshold Circuits, is just way too complex for my casual interest but would like to know more about how AI/ML works conceptually. Clearly the discipline underpins a bunch of services I use regularly and as computing and techniques improve it will start playing a more conspiscious role.

http://www.newyorker.com/tech/elements/the-space-doctors-big...




You may have noticed this, but that New Yorker article was written by Randall Munroe, the creator of XKCD.


Which makes sense, considering his last book is "Thing Explainer", and explains stuff like the "Up Goer Five" (Saturn V): https://xkcd.com/1133/


This deserves to be put here:

https://www.youtube.com/watch?v=2p_8gx-XHJo



Google Talk on the Master Algorithm by the author Domingas.

https://www.youtube.com/watch?v=B8J4uefCQMc


thanks, looks super interesting.




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