June 2, 2022, 9:29 p.m. | /u/tripleespresso7

Machine Learning www.reddit.com

To ensure that every feature has a measurable impact on the broader platform my team will set up and run A/B testing on each new feature or product change, but what happens when a new feature needs to be released quickly and there is not enough time for a traditional testing approach? To make sure that these quick changes could still be measured I found a way to perform accurate pre-post analysis using a back-door adjustment of causal analysis. I …

ab analysis backdoor blog impact machinelearning setup testing type

AI Research Scientist

@ Vara | Berlin, Germany and Remote

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 Data Engineer (m/f/d)

@ Project A Ventures | Berlin, Germany

Principle Research Scientist

@ Analog Devices | US, MA, Boston