The Chapman & Hall/ CRC Mathematics and Artificial Intelligence Series aims to explore the relationship between mathematics and artificial intelligence (AI). Covering areas as diverse as probability theory, combinatorics, linear algebra, optimization and calculus, this series delves into the fundamental mathematical frameworks underpinning AI algorithms and models.
Publishing a broad range of academic, professional, and popular science titles, the series is designed to appeal to laypeople, students, researchers, and professionals seeking to deepen their understanding of the mathematical foundations crucial for advancing AI technologies and solving complex real-world problems.
Please contact us if you have an idea for a book for the series.
By Robert H. Chen, Chelsea Chen
September 25, 2024
Artificial Intelligence: An Introduction to Big Ideas and their Development, Second Edition guides readers through the history and development of artificial intelligence (AI), from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make ...
By Gerhard X. Ritter, Gonzalo Urcid
September 25, 2023
Lattice theory extends into virtually every branch of mathematics, ranging from measure theory and convex geometry to probability theory and topology. A more recent development has been the rapid escalation of employing lattice theory for various applications outside the domain of pure mathematics....
By Ashwin Rao, Tikhon Jelvis
December 16, 2022
Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas — especially finance. Reinforcement Learning is emerging as a powerful technique for solving a ...