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Booking.com Data Science

The Data Science and Machine learning blog of Booking.com

Nils Skotara in Booking.com Data Science

Raising the bar by lowering the bound

Why tackling overestimation is essential for product development

George Chouliaras in Booking.com Data Science

How good are your ML best practices?

by George Chouliaras, Kornel Kielczewski, Amit Beka, David Konopnicki and Lucas Bernardi

Dima Goldenberg in Booking.com Data Science

Booking.com @ KDD 2023

Booking.com contributions at the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining at Long Beach, CA…

Nils Skotara in Booking.com Data Science

Sequential Testing at Booking.com

Reliable and fast product decisions

Introduction

Felipe Moraes in Booking.com Data Science

Booking.com @ RecSys 2022

Booking.com’s publications at the 16th ACM conference on Recommender Systems

Carlo Provinciali in Booking.com Data Science

How to stop wasting time fixing broken machine learning pipelines

Nils Skotara in Booking.com Data Science

Encouraged to comply

Improving bounds with Instrumental Variables

Roopanjali Jasrotia in Booking.com Data Science

Term Structure of Bookings

An offbeat modeling application that analogises yield curves of bonds at…

Sam Bailey in Booking.com Data Science

Partial Blockout Experiments for a Two Sided Marketplace

Experimenting on both sides of the…

Pablo Estevez in Booking.com Data Science

Overtracking and trigger analysis: how to reduce sample sizes and INCREASE the sensitivity of

Booking.com Data Science

The Data Science and Machine learning blog of Booking.com

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