Introduction

Statistics provides the mathematical foundation for machine learning, offering tools and methodologies to extract insights from data, quantify uncertainty, and make reliable predictions. Understanding statistical concepts is essential for building robust machine learning models and correctly interpreting their results.

While machine learning often focuses on predictive performance, statistics brings a disciplined approach to hypothesis testing, parameter estimation, and inference that helps practitioners understand not just what their models predict, but why and with what degree of confidence.