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

Debraj GuhaThakurta
Senior Applied and Data Scientist Lead, Microsoft

Website | @d_guhathakurta

Debraj GuhaThakurta is a senior data scientist lead for AI and research, the Cloud Data Platform, algorithms, and data science at Microsoft, where he focuses on developing the team data science process and the use of different Microsoft data platforms and toolkits (Spark, SQL Server, ADL, Hadoop, DL toolkits, etc.) for creating scalable and operationalized analytical processes. He has many years of experience using data science and machine learning applications, particularly in biomedical and forecasting domains, and has published more than 25 peer-reviewed papers, book chapters, and patents. Debraj holds a PhD in chemistry and biophysics.


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)
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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.