Multi-Armed Bandits in Python: Epsilon Greedy, UCB1, Bayesian UCB, and EXP3
This post explores four algorithms for solving the multi-armed bandit problem (Epsilon Greedy, EXP3, Bayesian UCB, and UCB1), with implementations in Python ...
Recent Posts
Offline Evaluation of Multi-Armed Bandit Algorithms in Python using Replay
Multi-armed bandit algorithms are seeing renewed excitement, but evaluating their performance using a historic dataset is challenging. Here’s how I go about ...
Understanding the AdTech Auctions in Your Browser: an Analysis of 30,000 Prebid.js Auctions
An analysis of auction dynamics in client-side header bidding
Predicting The Shift: Boosting and Bagging for Strategic Infield Positioning
Using machine learning to predict strategic infield positioning using statcast data and contextual feature engineering.
Visualizing MLB Team Rankings with ggplot2 and Bump Charts
A quick tutorial on fetching MLB win-loss data with pybaseball and cleaning and visuzlizing it with the tidyverse (dplyr and ggplot).
On Draft Pick Value, the New Lottery, and Tanking
Tanking becomes a hot topic each season once it becomes apparent which of the NBA’s worst teams will be missing the playoffs. In this post I address the valu...
A Statcast Tribute to Baseball’s Strangest Pitch: the Eephus
I’ve been borderline obsessed with the eephus pitch for some time now. Every time I see a player pull this pitch out of their arsenal I become equal parts ex...
Leaving MLB: Lessons Learned in my First Data Science Role
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 ML...
Introducing pybaseball: an Open Source Package for Baseball Data Analysis
Throughout my baseball-facing work at MLB Advanced Media, I came to realize that there was no reliable Python tool available for sabermetric research and adv...
Bookshelf
A collection of some of my favorite books. Business, popular economics, stats and machine learning, and some literature.