Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Ted Dunning

Ted Dunning
Chief Technology Officer, MapR

Website | @ted_dunning

Ted Dunning has been involved with a number of startups—the latest is MapR Technologies, where he is chief application architect working on advanced Hadoop-related technologies. Ted is also a PMC member for the Apache Zookeeper and Mahout projects and contributed to the Mahout clustering, classification, and matrix decomposition algorithms. He was the chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems and built fraud-detection systems for ID Analytics. Opinionated about software and data-mining and passionate about open source, he is an active participant of Hadoop and related communities and loves helping projects get going with new technologies.

Sessions

2:05pm2:45pm Thursday, September 28, 2017
Data science & advanced analytics, Machine Learning & Data Science
Location: 1A 06/07 Level: Intermediate
Ted Dunning (MapR)
Average rating: ****.
(4.50, 2 ratings)
Ted Dunning offers an overview of tensor computing—covering, in practical terms, the high-level principles behind tensor computing systems—and explains how it can be put to good use in a variety of settings beyond training deep neural networks (the most common use case). Read more.
2:55pm3:35pm Thursday, September 28, 2017
Location: O'Reilly booth (Table A)
Ted Dunning (MapR)
Ted is happy to talk with you about stream-first architecture, machine learning logistics, and recent developments in t-digest. Read more.