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

Robert Horton
Senior Data Scientist, Microsoft

Website

Bob Horton is a senior data scientist on the user understanding team at Bing. Bob holds an adjunct faculty appointment in health informatics at the University of San Francisco, where he gives occasional lectures and advises students on data analysis and simulation projects. Previously, he was on the professional services team at Revolution Analytics. Long before becoming a data scientist, he was a regular scientist (with a PhD in biomedical science and molecular biology from the Mayo Clinic). Some time after that, he got an MS in computer science from California State University, Sacramento.

Sessions

9:00am12:30pm Tuesday, March 14, 2017
Data science & advanced analytics
Location: LL21 C/D Level: Intermediate
Secondary topics:  R
Vanja Paunic (Microsoft), Robert Horton (Microsoft), Hang Zhang (Microsoft), Srini Kumar (LevaData, Inc.), Mengyue Zhao (Microsoft), John-Mark Agosta (Microsoft), Mario Inchiosa (Microsoft), Debraj GuhaThakurta (Microsoft)
Average rating: **...
(2.50, 4 ratings)
Join in to learn how to do scalable, end-to-end data science in R on single machines as well as on Spark clusters. You'll be assigned an individual Spark cluster with all contents preloaded and software installed and use it to gain experience building, operationalizing, and consuming machine-learning models using distributed functions in R. Read more.