Statistics for Machine Learning

Descriptive statistics enable us to understand the characteristics of our data and quantify patterns within it. These metrics serve as essential tools for model evaluation, data exploration, and result communication in machine learning applications.

While inferential methods help us make broader claims about populations, descriptive statistics provide immediate insights about your training and test datasets—essential for diagnosing model issues, identifying data challenges, and interpreting outputs across the machine learning lifecycle.