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

John Mount
Principal Consultant, Win-Vector LLC

Website

John Mount is a principal consultant at Win-Vector LLC, a San Francisco data science consultancy. John has worked as a computational scientist in biotechnology and a stock-trading algorithm designer and has managed a research team for Shopping.com (now an eBay company). He is the coauthor of Practical Data Science with R (Manning Publications, 2014). John started his advanced education in mathematics at UC Berkeley and holds a PhD in computer science from Carnegie Mellon (specializing in the design and analysis of randomized algorithms). He currently blogs about technical issues at the Win-Vector blog, tweets at @WinVectorLLC, and is active in the Rotary. Please contact jmount@win-vector.com for projects and collaborations.

Sessions

1:30pm5:00pm Tuesday, March 14, 2017
Data science & advanced analytics
Location: LL21 C/D Level: Intermediate
Secondary topics:  R
John Mount (Win-Vector LLC)
Average rating: ****.
(4.83, 6 ratings)
Sparklyr provides an R interface to Spark. With sparklyr, you can manipulate Spark datasets to bring them into R for analysis and visualization and use sparklyr to orchestrate distributed machine learning in Spark from R with the Spark MLlib and H2O SparkingWater libraries. John Mount demonstrates how to use sparklyr to analyze big data in Spark. Read more.
2:40pm3:20pm Wednesday, March 15, 2017
Location: Table B
John Mount (Win-Vector LLC)
If you're interesting in using Sparklyr, an R interface to Spark's distributed machine-learning algorithms, John's office hour could prove immensely valuable. Read more.