Put AI to Work
April 15-18, 2019
New York, NY
Evan Sparks

Evan Sparks
CEO, Determined AI

Evan Sparks is a cofounder and CEO of Determined AI, a software company that makes machine learning engineers and data scientists fantastically more productive. Previously, Evan worked in quantitative finance and web intelligence. He holds a PhD in computer science from the University of California, Berkeley, where, as a member of the AMPLab, he contributed to the design and implementation of much of the large-scale machine learning ecosystem around Apache Spark, including MLlib and KeystoneML. He also holds an AB in computer science from Dartmouth College.

Sessions

1:00pm–1:40pm Thursday, April 18, 2019
Risk-free deep learning without sacrificing performance
Implementing AI
 Location: Rendezvous
Secondary topics:  Deep Learning and Machine Learning tools, Platforms and infrastructure
Evan Sparks (Determined AI)
Average rating: *****
(5.00, 1 rating)
Building deep learning applications is hard. Building them repeatably is harder. Maintaining high computational performance during a repeatable deep learning development process is borderline impossible. Evan Sparks describes the key pitfalls associated with fast, repeatable model development and details what practitioners can do to avoid them and maintain a supercharged AI development workflow. Read more.