Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Suqiang Song

Suqiang Song
Director and Chapter Leader for Data Engineering and AI, Mastercard

Website

Suqiang Song is director and chapter leader at Mastercard, where directly oversees a team embedded within the data engineering and AI tribe. Suqiang blends deep business and technical expertise with a passion for coaching people, helping them grow and develop in their area of expertise and ensuring alignment on the “how” of the work they perform in squads.

Sessions

5:10pm–5:50pm Wednesday, March 7, 2018
Improving user-merchant propensity modeling using neural collaborative filtering and wide and deep models on Spark BigDL at scale
Big data and data science in the cloud, Data science and machine learning
 Location: LL21 B
Sergey Ermolin (Intel), Suqiang Song (Mastercard)
Sergey Ermolin and Suqiang Song demonstrate how to use Spark BigDL wide and deep and neural collaborative filtering (NCF) algorithms to predict a user’s probability of shopping at a particular offer merchant during a campaign period. Along the way, they compare the deep learning results with those obtained by MLlib’s alternating least squares (ALS) approach. Read more.