In this book the author argues that the basis of what we consider computer intelligence has algorithmic roots, and he presents this with a holistic view, showing examples and explaining approaches that encompass theoretical computer science and machine learning via engineered algorithmic solutions. Part I of the book introduces the basics.

This book is an introductory textbook on the design and analysis of algorithms. This second edition will differ from the present edition mainly in that solutions to most of the exercises will be included.

This collection is the first to comprehensively examine the implications of AI technology on legal and regulatory systems. Featuring experts from Europe and the US, this book will appeal to scholars of law, economics, and public policy, as well as readers generally interested in emerging legal questions related to algorithms.

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Making its first huge impact in the 1960's through the inventions of Bob Moog, the analog synthesizer sound, riding a wave of later developments in digital and software synthesis, has now become more popular than ever.

Analyzing Recorded Music: Collected Perspectives on Popular Music Tracks is a collection of essays dedicated to the study of recorded popular music, with the aim of exploring "how the record shapes the song" (Moylan, Recording Analysis, 2020) from a variety of perspectives.