Mastering A/B testing for Data Science Interviews: Introduction to A/B Testing

Author(s): Youssef Hosni

Originally published on Towards AI.

Table of Contents:

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A/B testing is a powerful and widely used methodology in the field of data science, particularly in the realm of product development and user experience optimization. It offers a structured approach to test and compare two different versions of a product or feature to determine which one yields better results.

In this series of articles, we will cover everything you need to know to be able to master A/B testing for data science and data analysis interviews. We will start with an introduction to A/B testing in which we will… Read the full blog for free on Medium.

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Published via Towards AI