The purpose of the 3rd edition of this book is to give a sound and self-contained (in the sense that the necessary probability theory is included) introduction to classical or mainstream statistical theory. It is not a statistical-methods-cookbook, nor a compendium of statistical theories, nor is it a mathematics book. The book is intended to be a ...
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.
This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basi...
How To Do Science has been written for students of the life sciences who are actively engaged in the scientific process. This guide introduces you to what it means to be a scientist. You will learn about the scientific method and how to carry out many tasks of a scientist, including: designing experiments, visualising data, accessing scientific lit...