Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY
Joseph Bradley

Joseph Bradley
Software Engineer, Databricks

@jkbatcmu

Joseph Bradley is a software engineer working on machine learning at Databricks. Joseph is an Apache Spark committer and PMC member. Previously, he was a postdoc at UC Berkeley. Joseph holds a PhD in machine learning from Carnegie Mellon University, where he focused on scalable learning for probabilistic graphical models, examining trade-offs between computation, statistical efficiency, and parallelization.

Sessions

2:35pm3:15pm Thursday, June 29, 2017
Implementing AI
Location: Sutton South/Regent Parlor Level: Intermediate
Secondary topics:  Cloud, Deep Learning
Joseph Bradley (Databricks), Xiangrui Meng (Databricks)
Joseph Bradley and Xiangrui Meng share best practices for integrating popular deep learning libraries with Apache Spark, covering cluster setup, data ingest, configuring clusters, and monitoring jobs. Joseph and Xiangrui then demonstrate these techniques using Google’s TensorFlow library. Read more.