Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: 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

9:00am–12:30pm Tuesday, March 6, 2018
Using R and Python for scalable data science, machine learning, and AI
Data science and machine learning
 Location: LL21 C/D
Mario Inchiosa (Microsoft), Vanja Paunic (Microsoft), Robert Horton (Microsoft), Debraj GuhaThakurta (Microsoft), Ali-Kazim Zaidi (Microsoft), Tomas Singliar (Microsoft), John-Mark Agosta (Microsoft)
Average rating: ****.
(4.00, 4 ratings)
R and Python top the list of languages used in data science and machine learning, and data scientists and engineers fluent in one of these languages are increasingly marketable. Come learn how to build and operationalize machine learning models using distributed functions and do scalable, end-to-end data science in R and Python on single machines, Spark clusters, and cloud-based infrastructure. Read more.