Thursday 6th August, 2015
2:30pm to 3:10pm
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) using a publicly available aircraft engine run-to-failure data set, and showcases how the models can be conveniently trained and compared with different algorithms in Azure ML.
Data Scientist at Microsoft
Dr. Yan Zhang is a data scientist in Microsoft Cloud & Enterprise Azure Machine Learning product team. She builds predictive models and generalize data driven solutions on Cloud machine learning platform. Her recent research include predictive maintenance in IoT applications, customer segmentation, and text mining. Dr. Zhang holds a Ph.D. in computer science majoring in data mining.
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