Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Jing (Nicole) Kong

Jing (Nicole) Kong
Data Scientist, Office Depot

Jing (Nicole) Kong is a data scientist at Office Depot, where she deals with big data and transforms data and models into products and service that drive business. She’s experienced with a number of different machine learning and deep learning models.

Jing(Nicole)是一位数据科学家,拥有构建不同的机器学习/深度学习模型、处理大数据以及将数据/模型转换为推动业务发展的产品和服务的经验。

Sessions

4:20pm5:00pm Wednesday, March 27, 2019
Secondary topics:  Deep Learning, Retail and e-commerce
Luyang Wang (Office Depot), Jing (Nicole) Kong (Office Depot), Guoqiong Song (Intel), Maneesha Bhalla (Office Depot)
Average rating: ****.
(4.00, 2 ratings)
User-based real-time recommendation systems have become an important topic in ecommerce. Lu Wang, Nicole Kong, Guoqiong Song, and Maneesha Bhalla demonstrate how to build deep learning algorithms using Analytics Zoo with BigDL on Apache Spark and create an end-to-end system to serve real-time product recommendations. Read more.