Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Grace Huang

Grace Huang
Data Science Lead, Pinterest

Website

Grace Huang is the data science lead for discovery at Pinterest, where discovery products like recommendations and personalization are developed. She is passionate about building data science products around machine-learning algorithms to drive better experience for Pinterest users and build a sustainable ecosystem.

Sessions

10:0510:20 Thursday, 25 May 2017
Location: Auditorium
Grace Huang (Pinterest)
Average rating: ***..
(3.47, 17 ratings)
Grace Huang shares lessons learned from running and interpreting machine-learning experiments and outlines launch considerations that enable sustainable, long-term ecosystem health. Read more.
14:5515:35 Thursday, 25 May 2017
Location: Capital Suite 15/16
Grace Huang (Pinterest)
Average rating: *****
(5.00, 1 rating)
Grace Huang offers a glimpse into the unique challenges of maintaining a healthy ecosystem around machine-learning products at Pinterest. Grace explores the suite of tools Pinterest built to make sense of machine-learning experiment results and the panel of metrics it developed to help gauge the health of the content ecosystem. Read more.