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Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
John-Mark Agosta

John-Mark Agosta
Principal Data Scientist, Microsoft

John Mark Agosta is a principal data scientist in IMML at Microsoft. Over his career, he has worked with startups and labs in the Bay Area, including the original Knowledge Industries, and was a researcher at Intel Labs, where he was awarded a Santa Fe Institute Business Fellowship in 2007, and at SRI International after receiving his PhD from Stanford. He has participated in the annual Uncertainty in AI conference since its inception in 1985, proving his dedication to probability and its applications. When feeling low he recharges his spirits by singing Russian music with Slavyanka, the Bay Area’s Slavic music chorus.

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.