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

Office Hour with John Mount (Win-Vector LLC)

John Mount (Win-Vector LLC)
2:40pm3:20pm Wednesday, March 15, 2017
Location: Table B

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.

Photo of John Mount

John Mount

Win-Vector LLC

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.

Leave a Comment or Question

Help us make this conference the best it can be for you. Have questions you'd like this speaker to address? Suggestions for issues that deserve extra attention? Feedback that you'd like to share with the speaker and other attendees?

Join the conversation here (requires login)