This week, Zephy McKanna sets out to explain Multi-Armed bandits. Here at Wayfair, we are constantly testing new algorithms, product sort orders, marketing, and other messages using epsilon-first Multi-Armed Bandits – also known as A/B tests. We are also employing some more interesting MAB algorithms, like Thompson Sampling, to dynamically…
This week in Wayfair Data Science’s explainer series, Tim O’Connor discusses experimentation in the context of data science. Experiments are crucial to data science, helping to determine which version of a model is to use in future iterations of a system or generating new sources of data unavailable in a…
Welcome back to Wayfair Data Science’s Explainer Series! This week Afshaan Mazagonwalla will be speaking about Bayesian Machine Learning. Wayfair uses Bayesian and Reinforcement Learning based techniques for balancing the exploration – exploitation trade off between new and popular items in ranking products on the website and for recommending sales…
Find out about how Wayfair tackles product recommendations in our first installment! Wayfair Data Science is composed of a number of sub-teams, each tackling a different set of specific business challenges. In order to give you a taste of the wide array of people and workstreams we have here on…
