Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Tomas Singliar

Tomas Singliar
Microsoft

Tomas Singliar is a data scientist in Microsoft’s AI and Research Group. Tomas’s favorite hammer is probabilistic and Bayesian modeling, which he applies analytically and predictively to business data. He has published a dozen papers in and serves as reviewer for several top tier AI conferences, including AAAI and UAI, and holds four patents in intent recognition through inverse reinforcement learning. Tomas studied machine learning at University of Pittsburgh.

Sessions

9:00am12:30pm Tuesday, March 6, 2018
Data science and machine learning
Location: LL21 C/D Level: Intermediate
Mario Inchiosa (Microsoft), Vanja Paunic (Microsoft), Robert Horton (Microsoft), Debraj GuhaThakurta (Microsoft), Ali Zaidi (Microsoft), Tomas Singliar (Microsoft), John-Mark Agosta (Microsoft)
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.