Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Tim Hunter

Tim Hunter
Software Engineer, Databricks, Inc.

Tim Hunter is a software engineer at Databricks and contributes to the Apache Spark MLlib project. Tim holds a PhD from UC Berkeley, where he built distributed machine-learning systems starting with Spark version 0.2.

Sessions

11:50am12:30pm Thursday, March 16, 2017
Spark & beyond
Location: 210 A/E
Secondary topics:  Deep learning, Hardcore Data Science
Joseph Bradley (Databricks), Tim Hunter (Databricks, Inc.)
Average rating: ***..
(3.75, 4 ratings)
Joseph Bradley and Tim Hunter share best practices for building deep learning pipelines with Apache Spark, covering cluster setup, data ingest, tuning clusters, and monitoring jobs—all demonstrated using Google’s TensorFlow library. Read more.