Data are.

I’ve come out of side project retirement for something I’m calling AxeDB.

In this post I discuss the multi-armed bandit problem and implementations of four specific bandit algorithms in Python (epsilon greedy, UCB1, a Bayesian UCB, and EXP3).

Multi-armed bandit algorithms are seeing renewed excitement in research and industry.

For the past several months I’ve been collecting bid prices from the adtech auctions taking place in my browser.

“The Shift” Baseball is an old game, and for the most part, we play it the same way today as we did several decades ago.

The 2018 MLB season has so far been just like every other season: filled with ups, downs, win streaks, teams plagued with injuries, and so-on.

Tanking becomes a hot topic each season once it becomes apparent which of the NBA’s worst teams will be missing the playoffs.

I’ve been borderline obsessed with the eephus for some time now.

For the past three months I have had the exciting opportunity to intern as a data scientist at Major League Baseball Advanced Media, the technology arm of MLB.

Baseball and statistics go together like peanut butter and jelly; it’s almost hard to imagine following one without involving the other.