Evan Sparks

Evan Sparks is a PhD Student in the Computer Science Division at UC Berkeley. His research focuses on the design and implementation of distributed systems for large scale data analysis and machine learning. Prior to Berkeley he spent several years in industry tackling large scale data problems as a Quantitative Financial Analyst at MDT Advisers and as a Product Engineer at Recorded Future. He holds a bachelor's degree from Dartmouth College.

Content

KeystoneML: Optimized large-scale machine learning pipelines on Apache Spark

July 6, 2016

Evan Sparks describes the principles behind KeystoneML and introduces its programming model by way of example pipelines in NLP and image classification.