Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Yan Zhang

Yan Zhang
Data Scientist, Microsoft

Yan Zhang is a senior data scientist with the algorithm and data science team of the Data Group within Cloud and Enterprise at Microsoft. She builds predictive analytics models and generalizes machine learning solutions on the cloud machine learning platform. Her recent research includes cost prediction and fraud claim detection in the healthcare domain, predictive maintenance in IoT applications, customer segmentation, and text mining. Previously, she was a research faculty member at Syracuse University. Yan earned her PhD in data mining from the Computer Science Department at the University of Vermont. She’s the author of 23 publications, including journal articles, conference papers, and blog posts. Her first paper won the best paper award at the 17th IEEE International Conference on tools with artificial intelligence. She’s one of the reviewers for the book Predictive Analytics with Microsoft Azure Machine Learning, second edition, published in September 2015.

Sessions

1:15pm–1:55pm Thursday, 10/01/2015
IoT & Real-time
Location: 3D 02/11 Level: Non-technical
Tags: iot
Yan Zhang (Microsoft)
Average rating: ***..
(3.50, 4 ratings)
This talk introduces the landscape and challenges of predictive maintenance applications in the industry, illustrates how to formulate (data labeling and feature engineering) the problem with three machine learning models (regression, binary classification, multi-class classification), and showcases how the models can be conveniently trained and compared with different algorithms. Read more.