Why Does Hypothesis Testing Matter in Machine Learning?
Last Updated on October 4, 2025 by Editorial Team
Author(s): Nikhil Dasari
Originally published on Towards AI.
Understanding the Role of Hypothesis Testing in Machine Learning.
When I first started learning Machine Learning, I was confused about how hypothesis testing is used. Many of you may have had this same doubt when starting out.
This article explores the significance of hypothesis testing in machine learning, covering various applications like feature selection, model comparison, data drift detection, and A/B testing, while emphasizing the importance of statistical validity in evaluating machine learning models and their performance across different scenarios.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!
Towards AI has published Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!

Discover Your Dream AI Career at Towards AI Jobs
Towards AI has built a jobs board tailored specifically to Machine Learning and Data Science Jobs and Skills. Our software searches for live AI jobs each hour, labels and categorises them and makes them easily searchable. Explore over 40,000 live jobs today with Towards AI Jobs!
Note: Content contains the views of the contributing authors and not Towards AI.