Training: June 20–21, 2016
Tutorials: June 21, 2016
Keynotes & Sessions: June 22–23, 2016
Santa Clara, CA
Yang Yang

Yang Yang
Senior Data Scientist, LinkedIn

Website | @tabaaway

Yang Yang is a statistician interested in understanding data and digging signals via statistical modeling. Yang’s work involves developing metrics and methods to track the long-term success of web services and detect key drivers of user engagement and verify them rigorously through statistical analysis. Yang is also keen on developing novel statistical methods to solve real data problems. During her PhD at University of Michigan, Yang proposed new methodologies to analyze panel data with incomplete observations by stochastic optimization techniques and MCMC sampling.

Sessions

11:20am–12:00pm Thursday, 06/23/2016
Infrastructure reimagined
Location: Ballroom AB Level: Beginner
Ritesh Maheshwari (LinkedIn), Yang Yang (LinkedIn)
Average rating: ****.
(4.43, 7 ratings)
For the past year, LinkedIn has been running and iteratively improving Luminol, its anomaly detection system for real user monitoring data. Ritesh Maheshwari and Yang Yang offer an overview of Luminol, focusing on how to build a low-cost end-to-end system that can leverage any algorithm, and explain lessons learned and best practices that will be useful to any engineering or operations team. Read more.