Nathan Epstein
Expert Overview
Things I'm Doing
Talks I've Given
Nathan is a Quant, Software Engineer, and Data Scientist living in New York City. He sporadically participates in Open Source Software Development (primarily Machine Learning and Data Visualization Tools). He studied Applied Math and Code at Columbia University and Recurse Center.
Follow Nathan on Twitter, on his Personal Website, and on Github
Talks I've Given
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Lightning Talk: Performant Reinforcement Learning In JavaScript
Featuring Nathan Epstein
This talk is about how to implement reinforcement learning for JavaScript. You will explore some light reinforcement learning theory (beginners friendly) as well as a discussion of how we can use C++ (with Emscripten) to boost performance in the face of an expensive algorithm.
artificial-intelligence machine-learning web-assembly emscripten performance