Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Yingsong Zhang

Yingsong Zhang
Data Scientist, ASI Data Science

Website

Yingsong Zhang is a data scientist at ASI, where she has worked on everything from social media data to special data from clients to build predictive models. Yingsong has published over 10 first-author research papers in top journals and conferences in the field of signal/image processing and has accumulated extensive experience in algorithm design and information representation. She recently completed a three-year postdoc project at Imperial College London developing sampling theory and the application system. Yingsong holds a BA in mathematics, an MSc in artificial intelligence and pattern recognition from one of China’s top universities, and a PhD in signal and image processing from Cambridge University.

Sessions

9:30–10:00 Tuesday, 23 May 2017
Gaining additional labels for data: An introduction to using semisupervised learning for real problems
Hardcore Data Science
 Location: London Suite 2/3
Yingsong Zhang (ASI Data Science)
There are sometimes occasions where the labels on data are insufficient. In such situations, semisupervised learning can be of great practical value. Yingsong Zhang explores illustrative examples of how to come up with creative solutions, derived from textbook approaches. Read more.