I finally had a chance to do something I’ve been meaning to do for a long time: post some notebooks on machine learning on GitHub. IPython notebooks are a great way to mix text, math, and code. I’ve been writing ipython notebooks for a while to teach myself some machine learning concepts; there’s no better … More ipython notebooks on machine learning
Deepmind built an AI that masters Go. How did they do it? A technical introduction. … More 5 easy pieces: How Deepmind mastered Go
“I don’t have time” – That’s probably the most common excuse for not exercising. But what if your mind was clearer, more efficient after you hit the gym? … More Exercise, be smarter, save time
The number game, which stems from Josh Tenenbaum’s PhD thesis, illustrates some important ideas about Bayesian concept learning. Here is a discussion of this in lecture notes from Kevin Murphy for reference. The basic setup is as follows: I give you a set of numbers from 1 to 100, and you try to guess another number in the set. For instance, I give … More Turing machines, the number game, and inference
I haven’t updated the blog in a while, as I have been very busy interviewing, going back home for a bit, and transitioning into a new role. I’m proud to say that I’m now working in Mountain View, at the Googleplex! It’s an amazing opportunity to work with some of the top machine learning and statistics researchers … More Hello world from Google!
