The Shallow and the Deep
The Shallow and the Deep is a collection of lecture notes that offers an accessible introduction to neural networks and machine learning in general. However, it was clear from the...
Generative AI in Higher Education
Chan and Colloton’s book is one of the first to provide a comprehensive examination of the use and impact of ChatGPT and Generative AI (GenAI) in higher education. Since November...
The Principles of Deep Learning Theory
This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations...
Automation in Communication
By drawing on multiple examples from healthcare, religion, service encounters and poetry, Lionel Wee presents rich insights into the use of automation in communication through a posthumanist lens. As communication...
Mathematical Discovery
This is a book about mathematics appreciation via discovery, rather than about practical mathematics. It considers several problems that don't appear to be amenable to ordinary arithmetic, algebraic or geometric...
Math in Society
A survey of mathematics for the liberal arts major Math in Society is a free, open textbook. This book is a survey of contemporary mathematical topics, most non-algebraic, appropriate for a...
Get Started with MicroPython on Raspberry Pi Pico, 2nd Edition
Microcontrollers, like the RP2040 chip at the heart of Raspberry Pi Pico, are computers stripped back to their bare essentials. You don't use monitors or keyboards with them — instead, you...
Introduction to Probability for Data Science
This introductory textbook in undergraduate probability emphasizes the inseparability between data (computing) and probability (theory) in our time. It examines the motivation, intuition, and implication of the probabilistic tools used in science and engineering:...
Mathematics for Machine Learning
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses,...
A First Course in Linear Algebra
A First Course in Linear Algebra is an introduction to the basic concepts of linear algebra, along with an introduction to the techniques of formal mathematics. It begins with systems...