Name: Multi-armed bandit strategies for A/B testing, marketing and other data analysis
Start: 2015-03-18T19:00:00-04:00
End: 2015-03-18T22:00:00-04:00
Location: The George Washington University, 1957 E St., Room 113

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

Dmitri Adler

Data Education DC

Data Community DC

Technology

Data Science

Machine Learning

Data Analytics

Applied Statistics

Data Visualization

R Project for Statistical Computing

Data Mining

Open Source

Big Data

Computer Programming

Software Development

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

The George Washington University, 1957 E St., Room 113

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Data Education DC

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

Data Education DC

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