Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Junxia Li

Junxia Li
Senior Data Scientist, Think Big Analytics

Junxia Li is a senior data scientist at Think Big Analytics, a Teradata company, where she focuses on solving recommendation problems using the latest techniques like deep and wide learning across clients from several verticals. Junxia has successfully implemented advanced machine learning models for clients from a number of different industries, such as automotive, telecommunications, and retail. Junxia is enthusiastic about emerging advancements in machine learning, especially deep learning and AI, and she enjoys reading cutting-edge research papers and experimenting with new ideas. She holds a master’s degree in business and IT and a dual bachelor’s degree in economics and information systems.

Sessions

9:00am12:30pm Tuesday, September 26, 2017
Artificial Intelligence, Machine Learning & Data Science
Location: 1A 18 Level: Intermediate
Secondary topics:  Deep learning, ecommerce
Mo Patel (Independent), Junxia Li (Think Big Analytics)
Junxia Li and Mo Patel demonstrate how to apply deep learning to improve consumer recommendations by training neural nets to learn categories of interest for recommendations using embeddings. You'll also learn how to achieve wide and deep learning with WALS matrix factorization—now used in production for the Google Play store. Read more.