Jan. 8, 2024, 5 p.m. | Poornima Muthukumar

KDnuggets www.kdnuggets.com

A/B testing is a method of comparing two versions of a web page, app, or other product to see which one performs better. This article covers the basics of A/B testing, how to design and run an effective experiment, and how to analyze and interpret the results.

a/b testing analyze app article basics b testing data science design experiment guide kdnuggets evergreen kdnuggets originals page product testing versions web

AI Engineer Intern, Agents

@ Occam AI | US

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

Data Engineer - Takealot Group (Takealot.com | Superbalist.com | Mr D Food)

@ takealot.com | Cape Town