Algorithmic Programming

Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook

By M. Norgaard, O. Ravn, N.K. Poulsen, L.K. Hansen

Empirical Evaluation Techniques in Computer Vision

By Kevin W. Bowyer (University of South Florida), P. Jonathon Phillips

Dark Matter

By Greg Iles

Understanding Computers and Cognition: A New Foundation for Design

By Terry Winograd, Fernando Flores

Data Structures and Problem Solving Using Java: International Edition

By Mark A. Weiss

The Minimum Description Length Principle

By Peter D. Grunwald, Jorma Rissanen

How to Think About Algorithms

By Jeff Edmonds (York University, Toronto)

Principles of Artificial Intelligence and Expert Systems Development

By David W. Rolston

The Large, the Small and the Human Mind

By Roger Penrose (University of Oxford), Malcolm Longair (Boston University), Abner Shimony (London School of Economics and Political Science), Nancy Cartwright, Stephen Hawking

Emergence: From Chaos To Order

By John Holland

Network and Netplay: Virtual Groups on the Internet

By Fay Sudweeks, Margaret L. McLaughlin, Sheizaf Rafaeli (Hebrew University of Jerusalem)

How We Became Posthuman: Virtual Bodies in Cybernetics, Literature, and Informatics

By N. Katherine Hayles

Critiques of Knowing: Situated Textualities in Science, Computing and The Arts

By Lynette Hunter

Tools, Language and Cognition in Human Evolution

By Kathleen R. Gibson (University of Texas Health Science Center, Houston), Tim Ingold (University of Manchester)

Introduction to Algorithms

By Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein

Data Science from Scratch: First Principles with Python

By Grus, Joel

Doing Data Science

By Cathy O'Neill

Data Structures, Files and Data Bases

By Carl Bamford, Paul Curran

Data Structures & Algorithms in Java

By Robert Lafore

Coding Interview Questions

By Narasimha Karumanchi

Computer Animation: Algorithms and Techniques

By Rick Parent (Professor Emeritus, Department of Computer Science and Engineering, The Ohio State)

Neural Computing: Theory and Practice

By Philip Wasserman

Artificial Neural Systems: Foundations, Paradigms, Applications and Implementations

By Patrick K. Simpson

Multivariate Data Analysis

By Fionn Murtagh, Andre Heck

Algorithms from P to NP, Vol. I: Design and Efficiency

By Bernard Moret, Henry D. Shapiro

Neural Networks Finance and Investment: Using Artificial Intelligence to Improve Real-World Performance

By Robert Trippi

Bad Choices: How Algorithms Can Help You Think Smarter and Live Happier

By Ali Almossawi

Cybernetic Trading Strategies: Developing a Profitable Trading System with State-of-the-Art Technologies

By Murray A. Ruggiero

Algorithms of Oppression: How Search Engines Reinforce Racism

By Safiya Umoja Noble

Numerical Geometry of Images: Theory, Algorithms, and Applications

By Kimmel, Ron, Bronstein, M., A.