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

Mengyue Zhao
Data Scientist II, Microsoft

Mengyue Zhao is a data scientist at Microsoft, where she develops end-to-end machine-learning solutions for various use cases in cloud computing and distributed platforms (e.g., Azure, Hadoop, and Spark). Mengyue focuses on scalable analysis, including data processing, feature engineering, feature selection, predictive modeling, and web services development. Previously, she was a data analyst at GE Digital, mainly focusing on solving machine-learning problems in the manufacturing domain. Mengyue has broad interests in machine learning, deep learning, and data mining and is passionate about harnessing the power of big data to answer interesting questions and drive business decisions. Mengyue holds a master’s degree in analytics from the University of San Francisco.

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.