Presented By O'Reilly and Cloudera
Make Data Work
Dec 4–5, 2017: Training
Dec 5–7, 2017: Tutorials & Conference
Wee Hyong Tok

Wee Hyong Tok
Principal Data Science Manager, Microsoft

Website | @weehyong

Wee Hyong Tok is a principal data science manager with the AI CTO Office at Microsoft, where he leads the engineering and data science team for the AI for Earth program. Wee Hyong has worn many hats in his career, including developer, program and product manager, data scientist, researcher, and strategist, and his track record of leading successful engineering and data science teams has given him unique superpowers to be a trusted AI advisor to customers. Wee Hyong coauthored several books on artificial intelligence, including Predictive Analytics Using Azure Machine Learning and Doing Data Science with SQL Server. Wee Hyong holds a PhD in computer science from the National University of Singapore.


12:05pm12:45pm Wednesday, December 6, 2017
Danielle Dean (iRobot), Wee Hyong Tok (Microsoft)
Average rating: ***..
(3.25, 4 ratings)
Transfer learning enables you to use pretrained deep neural networks (e.g., AlexNet, ResNet, and Inception V3) and adapt them for custom image classification tasks. Danielle Dean and Wee Hyong Tok walk you through the basics of transfer learning and demonstrate how you can use the technique to bootstrap the building of custom image classifiers. Read more.
11:15am11:55am Thursday, December 7, 2017
Wee Hyong Tok (Microsoft), Danielle Dean (iRobot)
Deep neural networks are responsible for many advances in natural language processing, computer vision, speech recognition, and forecasting. Danielle Dean and Wee Hyong Tok illustrate how cloud computing has been leveraged for exploration, programmatic training, real-time scoring, and batch scoring of deep learning models for projects in healthcare, manufacturing, and utilities. Read more.