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.
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 firstname.lastname@example.org for projects and collaborations.
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