Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Patty Ryan

Patty Ryan
Principal Data Scientist, Microsoft

@singingdata

Patty Ryan is an applied data scientist at Microsoft, where she codes with the company’s partners and customers to tackle tough problems using machine learning approaches with sensor, text, and vision data. She’s a graduate of the University of Michigan.

Sessions

4:35pm–5:15pm Wednesday, 09/12/2018
When Tiramisu meets online fashion retail
Location: 1A 15/16 Level: Intermediate
Secondary topics:  Deep Learning, Media, Marketing, Advertising, Retail and e-commerce
Patty Ryan (Microsoft), CY Yam (Microsoft), Elena Terenzi (Microsoft)
Average rating: *****
(5.00, 1 rating)
Large online fashion retailers must efficiently maintain catalogues of millions of items. Due to human error, it's not unusual that some items have duplicate entries. Since manually trawling such a large catalogue is next to impossible, how can you find these entries? Patty Ryan, CY Yam, and Elena Terenzi explain how they applied deep learning for image segmentation and background removal. Read more.