A Gentle Introduction to Expected Value, Variance, and Covariance with NumPy - Machine Learning Mastery

Fundamental statistics are useful tools in applied machine learning for a better understanding your data. They are also the tools that provide the foundation for more advanced linear algebra operations and machine learning methods, such as the covariance matrix and principal component analysis respectively. As such, it is important to have a strong grip on fundamental statistics in the context of linear algebra notation. In this tutorial, you will discover how fundamental statistical operations work and how to implement them using NumPy with notation and terminology from linear algebra. A Gentle Introduction to Expected Value, Variance, and Covariance with NumPy Photo by Robyn Jay, some rights reserved.