How to enable data scientists to stop managing ETL pipelines and get back to doing data science: Part I
February 11, 2020
Part I: How to build tools that you can hand off to data scientists [feature of Hoover tool]
Summary
Business moves fast and data science ru...
Wayfair DS Explains It All: Anurag Syal on Projection Mapping in 3D
October 3, 2019
At Wayfair, we do everything we can to help our customers find exactly the products they need to furnish their homes in the style they envision. But c...
Wayfair DS Explains It All: Ilkay Yildiz on Learning From Comparisons
September 16, 2019
Stylistic preference is an important factor when a home goods customer is deciding which product to buy, but it is very difficult to identify and defi...
Introducing Harmonia: Context-Aware Product Recommendation From Room Images
September 9, 2019
Introduction
When looking for a new piece of furniture to add to a room, customers generally consider two major points: the visual appearance of the ...
Creating the “Superclass”: Improving object detection at Wayfair via product class clustering
June 14, 2019
Executive Summary
Object detection is an important component of the computer vision workflow at Wayfair. The goal of object detection is to detect bo...
Introducing RoSE: Wayfair’s Room Style Estimator
May 9, 2019
Introduction:
Interior design and home decoration involve a high amount of guesswork. In addition to the visual appearance of each individual item, t...
Wayfair DS Explains It All: Esra Cansizoglu on Object Pose Estimation
April 29, 2019
This week in Wayfair Data Science’s explainer series, we’re discussing object pose estimation, an important problem in robotics and augmented real...
Wayfair DS Explains It All: Tim Zhang on Training Image Synthesis
March 18, 2019
This week in Wayfair Data Science’s explainer series, Senior Machine Learning Engineer Tim Zhang lays out what you need to know about training image...
