Multi-armed bandit strategies for A/B testing, marketing and other data analysis

For those more technically inclined, the presentation will commence with a brief overview of the Python programming language to familiarize the audience with the syntax.

We will then review multi-armed bandit strategies, synthetic and real-world data and results, and the ease in which they can be implemented and visualized in Python.

For the non-technical audience, we will discuss application areas including marketing, clinical trial and pharmacology analysis as well as a few others.

Speaker:

David "Kris" Wright is a Ph.D. candidate in Modeling, Simulation, and Visualization Engineering with a concentration in machine learning and social network analysis at Old Dominion University. He also has a BS and MS in computer science. While not working as a growth hacker, he is thinking, talking, and blogging about data-driven ways to make the world a better place.

Afterparty: drinks at Tonic!

2036 G St NW, Washington, DC 20036