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

Mario Inchiosa
Principal Software Engineer, Microsoft

Mario Inchiosa is a principal software engineer at Microsoft, where he focuses on delivering parallelized, scalable advanced analytics integrated with the R language. Previously, Mario served as Revolution Analytics’s chief scientist; analytics architect in IBM’s Big Data organization, where he worked on advanced analytics in Hadoop, Teradata, and R; US chief scientist in Netezza Labs, bringing advanced analytics and R integration to Netezza’s SQL-based data warehouse appliances; US chief science officer at NuTech Solutions, a computer science consultancy specializing in simulation, optimization, and data mining; and senior scientist at BiosGroup, a complexity science spin-off of the Santa Fe Institute. Mario holds bachelor’s, master’s, and PhD degrees in physics from Harvard University. He has been awarded four patents and has published over 30 research papers, earning publication of the year and open literature publication excellence awards.

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.