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

Yan Zhang
Data Scientist, Microsoft

Dr. Yan Zhang is a senior data scientist in Algorithm & Data Science Team of Data Group, Cloud & Enterprise, Microsoft. She builds predictive analytics models and generalizes machine learning solutions on Cloud machine learning platform. Her recent research include cost prediction/fraud claim detection in healthcare domain, predictive maintenance in IoT applications, customer segmentation, and text mining. Dr. Zhang received her Ph.D. in data mining at Computer Science department, University of Vermont. Before joining Microsoft, she was a research faculty at Syracuse University. She is an author of 23 publications, including journal articles, conference papers, and blog posts. Her first authored paper won the best paper award in the 17th IEEE International Conference on Tools with Artificial Intelligence. She is one of the reviewers for book “Predictive Analytics with Microsoft Azure Machine Learning 2nd 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.