Learn

This section is supposed to become a complete and cohesive tutorial on how-to data-science and machine-learn – everything you find here is a work in progress and continuously updated. If you find any errors or have some suggestions, feel free to contact.

Content

Introduction

Probability Theory

Mean and Variance

Statistical Moments

Convergence of Random Variables

Probability Inequalities

Other

Machine Learning Theory

PAC Learning