Presented By O'Reilly and Cloudera
Make Data Work
Dec 4–5, 2017: Training
Dec 5–7, 2017: Tutorials & Conference
Singapore
Le Zhang

Le Zhang
Data Scientist, Microsoft

Website

Le Zhang is a data scientist with Microsoft Artificial Intelligence and Research, where he applies cutting-edge machine learning and artificial intelligence technology to accelerate digital transformation for enterprises and startups. He has helped numerous corporations to develop and build enterprise-grade scalable advanced data analytical systems for a broad spectrum of application scenarios like manufacturing, predictive maintenance, financial services, ecommerce, and human resource analytics. Le specializes in cloud computing, big data technologies (Hadoop, Spark, Hive, etc.), and artificial intelligence development tools (CNTK, Keras, etc.) and is proficient in R and Python. Previously, Le worked at a semiconductor company developing an intelligent wafer defect recognition system using machine learning technology. Le enjoys sharing knowledge and learning from people and is a frequent speaker at industrial and academic conferences and community meetups. He holds a PhD in computer engineering.

Sessions

5:05pm5:45pm Thursday, December 7, 2017
Le Zhang (Microsoft), Graham Williams (Microsoft)
Average rating: ***..
(3.00, 1 rating)
R has long been criticized for its limitations on scalable data analytics. What's needed is an R-centric paradigm that enables data scientists to elastically harness cloud resources of manifold computing capability for large-scale data analytics. Le Zhang and Graham Williams demonstrate how to operationalize an E2E enterprise-grade pipeline for big data analytics—all within R. Read more.