Tuesday, April 15, 2014

How to Play Fair with an Unfair Coin

Recently, I picked up John Barrow's One Hundred Essential Things You Didn't Know You Didn't Know: Math Explains Your World at the library. It's a nice little book of (usually) elementary but very interesting mathematics and statistics. Each little tidbit is about a page or two long, so it's an easy book to just pick a random page in and read.

One of his examples details how to even the odds with a coin, no matter unfair it may be. The only requirement is that it is consistently unfair.

Friday, April 11, 2014

Bayesian Bandits at LinkedIn

In a reinvigorated effort to look into more detail at the implementation of Bayesian Bandits, today I came across a paper from last fall (2013) by some folks at LinkedIn: Automatic Ad Format Selection via Contextual Bandits by L Tang, R. Rosales, A Singh, and D. Agarwal. Tang is a Ph.D. student at Florida International, and the others are in the Applied Relevance Science group at LinkedIn.

Earthquake Info plus Real-Time TweetMap - Not Quite the Right Mix

The Idea and Its Abandonment (for now)

I thought it would be interesting to incorporate earthquake information into a real-time world tweetmap I have been playing with. Would you be able to see nuances in tweets after small earthquakes? Nuances caused by the small earthquakes that the tweeters aren't even aware of, but are visible when viewed across a large population? Maybe tease out interesting patterns with a kind of Fourier analysis-inspired sentiment analysis. I find this kind of concept interesting - there are events going on we don't consciously notice, but affect out behavior in subtle ways.

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