Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It plays a crucial role in the field of machine learning, providing the tools and techniques needed to make informed decisions about the relationships between variables and the patterns that exist within large datasets.
This chapter will provide an overview of the fundamental concepts and techniques used in statistics, including estimation, hypothesis testing, and inferential statistics. Through a combination of explanations and practical examples, readers will gain a deeper understanding of how statistical methods can be applied to real-world problems in machine learning and beyond.
Where to Learn More#
I’ve covered statistical inference in-depth in the following course: