all AI news
How to use conversion-rate (CVR) as an objective in multi-armed bandit experiments
June 25, 2022, 5:21 a.m. | Zenan Wang
Towards Data Science - Medium towardsdatascience.com
How to Use Conversion-Rate (CVR) as an Objective in Multi-Armed Bandit Experiments
A step-by-step guide with code examples
Photo by Mitchel Boot on UnsplashIntro
Multi-armed bandit (MAB) has become an increasingly important tool for experimentation and has been widely adopted by the industry giants such as Google, Meta, Netflix, LinkedIn, etc. to conduct efficient experiments. However, widely-used MAB test designs require the objective of interest to provide instantaneous feedback in order to update the assignment probability to each variant. …
a/b testing conversion data science rate reinforcement learning thoughts-and-theory
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Technology Consultant Master Data Management (w/m/d)
@ SAP | Walldorf, DE, 69190
Research Engineer, Computer Vision, Google Research
@ Google | Nairobi, Kenya