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...

Wayfair DS Explains It All: Trent Woodbury on Handling Imbalanced Data

May 28, 2019

Most machine learning algorithms are designed to train on balanced datasets. Resultantly, when our data are highly imbalanced, a typical model will ha...

Wayfair DS Explains It All: Peter B. Golbus on Theoretical Machine Learning

May 13, 2019

This week in Wayfair Data Science’s Explainer Series, Data Science Tech Lead Peter B. Golbus discusses machine learning from a theoretical computer ...

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: Foundational Assumptions of Experimentation and Linear Regression

April 8, 2019

Wayfair has a strong emphasis on causal inference when evaluating the impact of business strategies. The assumptions of experimentation and regression...

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...

Wayfair Data Science Hosts Third PhD Immersion Program

March 15, 2019

In January 2019, Wayfair Data Science was thrilled to host our third immersion program for graduate students in quantitative fields. Our largest round...