April 28th, 2018
From a user’s past reviews on Yelp, how likely is she to assign a five-star review to a business she has not reviewed before? This workshop teaches you how to solve data science problems like this using Jupyter Notebooks. We will cover common statistical techniques and popular Python libraries for data analysis and machine learning (Pandas, matplotlib, and scikit-learn).
Machine Learning Engineer, Yelp Inc.
Xun Tang is a Software Engineer at Yelp focusing on Ads. On a daily basis, she uses Jupyter Notebooks to analyze data and train models to optimize a wide range of metrics. Prior to Yelp, she has worked on search and data integration problems at Yahoo! and Electronic Arts. She holds a Ph.D. in Computer Science from University of California, Santa Barbara. She has published her work in multiple international conferences, including SIGIR, WSDM, and TKDD. She is devoted to applying machine learning skills to solving real-world data problems.