Booking.com Data Science
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About
Booking.com Data Science is the official blog for the data science and machine learning teams at Booking.com. It serves as a platform to publish cutting-edge research, share technical insights, and discuss best practices in the fields of data science and machine learning. Topics covered include hyperparameter tuning, payment fraud detection, recommender systems, cancellation prediction, A/B testing, and overall ML system quality. The blog aims to make experiencing the world easier for everyone by showcasing the technological advancements and data-driven culture within Booking.com. It features contributions from various data scientists and ML engineers within the company, highlighting their academic publications and practical applications.
Platform
Task
Features
• offering access to articles on experimentation and a/b testing
• providing a platform for ml engineers to share their work
• highlighting research in areas like fraud detection and recommender systems
• discussing data science best practices
• sharing insights on machine learning applications
• showcasing booking.com's data science publications
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