Higher Education Computer Science
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Foundations of Computational Agents
Third edition
David L. Poole
Alan K. Mackworth
A comprehensive learning resource for undergraduate and graduate students, with new chapters on deep learning, causality, and social impact.
July 2023 254 x 177 mm 900pp
HB, EB, HE
978-1-009-25819-7 Hardback
£57.99 / US$74.99 X
David J. Miller
Zhen Xiang
George Kesidis
The first textbook on adversarial machine learning, including both attacks and defences, background material, and hands-on student projects.
August 2023 244 x 170 mm 350pp
HB, EB, HE
978-1-009-31567-8 Hardback
£54.99 / US$69.99 X
Mor Harchol-Balter
A highly engaging and interactive undergraduate textbook specifically written for computer science courses.
September 2023 244 x 170 mm 555pp
HB, EB, HE
978-1-009-30907-3 Hardback
£54.99 / US$69.99 X
A Hands-on Guide to Implementing Machine Learning Solutions
A Hands-on Guide to Implementing Machine Learning Solutions
Isaac Triguero
Mikel Galar
A hands-on textbook for courses on large-scale data analytics and designing machine learning solutions.
November 2023 244 x 170 mm 422pp
PB, EB, HE
978-1-009-31825-9 Paperback
£29.99 / US$39.99 X
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Chirag Shah
A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.
December 2022 253 x 203 mm 500pp
HB, EB, HE
978-1-00-912330-3 Hardback £46.99 / US$59.99 X
Iddo Drori
Up-to-date guide to deep learning with unique content, rigorous math, unified notation, comprehensive algorithms, and high-quality figures.
August 2022 244 x 170 mm 360pp
HB, EB, HE
978-1-108-83508-4 Hardback £44.99 / US$59.99 P
Andreas Lindholm
Niklas Wahlström
Fredrik Lindsten
Thomas B. Schön
Presents carefully selected supervised and unsupervised learning methods from basic to state-of-the-art,in a coherent statistical framework.
March 2022 253 x 177 mm 350pp
HB, EB, HE
978-1-108-84360-7 Hardback £54.99 / US$69.99 P
Marc Peter Deisenroth
A. Aldo Faisal
Cheng Soon Ong
Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.
April 2020 253 x 177 mm 398pp 3 b/w illus. 106 colour illus.
PB, HB, EB, HE
978-1-108-45514-5 Paperback £36.99 / US$48.99 P
An Accessible Approach
Jianxin Wu
An accessible undergraduate introduction to the concepts and methods in pattern recognition, machine learning and deep learning.
November 2020 244 x 170 mm 398pp
HB, EB, HE
978-1-108-48346-9 Hardback £49.99 / US$69.99 X
Foundations, Algorithms, and Applications
Second edition
Jeremy Watt
Reza Borhani
Aggelos K. Katsaggelos
An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.
January 2020 247 x 174 mm 594pp
316 colour illus. 127 exercises
HB, EB, HE
978-1-108-48072-7 Hardback £52.99 / US$69.99 X
Principles, Computation, and Applications
John Wright
Yi Ma
Connects fundamental mathematical theory with real-world problems, through efficient and scalable optimization algorithms.
January 2022 244 x 170 mm 650pp
HB, EB, HE
978-1-108-48973-7 Hardback £59.99 / US$79.99 P
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A Concise Introduction
Hui Jiang
A coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.
November 2021 253 x 203 mm 418pp 203 colour illus.
PB, HB, CO
978-1-108-94002-3 Paperback £39.99 / US$49.99 P
David Barber
A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
February 2012 246 x 189 mm 735pp
287 b/w illus. 1 table 260 exercises
HB, EB, HE
978-0-521-51814-7 Hardback £60.99 / US$81.99 X
Tor Lattimore
Csaba Szepesvári
A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
July 2020 247 x 174 mm 536pp
HB, EB, CO
978-1-108-48682-8 Hardback
£39.99 / US$49.99 P
From Theory to Algorithms
Shai Shalev-Shwartz
Shai Ben-David
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
July 2014 253 x 177 mm 410pp 47 b/w illus. 123 exercises
HB, EB, CO
978-1-107-05713-5 Hardback £47.99 / US$62.99 C
The Art and Science of Algorithms that Make
of Data
Peter Flach
Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook.
September 2012 246 x 189 mm 409pp 120 colour illus. 15 tables PB, HB, EB, CO
978-1-107-42222-3 Paperback £42.99 / US$56.99 P
Natural Language Processing
A Machine Learning
Perspective
Yue Zhang
Zhiyang Teng
This undergraduate textbook introduces essential machine learning concepts in NLP in a unified and gentle mathematical framework.
January 2021 246 x 189 mm 484pp
HB, EB, HE 978-1-108-42021-1 Hardback £53.99 / US$69.99 P
The Inner Workings of a Virtual Personal Assistant
Steve Young
Reveals how AI works and provides insight into what we can expect of it now and in the future.
April 2021 228 x 152 mm 254pp
PB, HB, EB, CO
978-1-108-97236-9 Paperback £16.99 / US$22.99 G
Foundations of Computational Agents
Second edition
David L. Poole
Alan K. Mackworth
Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.
November 2017 253 x 177 mm 820pp
HB, EB, HE 978-1-107-19539-4 Hardback £58.99 / US$75.99 X
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Mechanics, Planning, and Control
Kevin M. Lynch
Frank C. Park
A modern and unified treatment of the mechanics, planning, and control of robots, suitable for a first course in robotics.
May 2017 253 x 177 mm 544pp
HB, EB
978-1-107-15630-2 Hardback £60.99 / US$77.99 X
Simon J. D. Prince
A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.
August 2012 253 x 177 mm 598pp
HB, EB, HE
357 colour illus. 5 tables 201 exercises
978-1-107-01179-3 Hardback £66.99 / US$89.99 X
Machine Learning, Dynamical Systems, and Control
Second edition
Steven L. Brunton
J. Nathan Kutz
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®
May 2022 253 x 177 mm 614pp
HB, EB, HE 978-1-00-909848-9 Hardback £49.99 / US$64.99 P
Theory, Algorithms, and Applications
Alan Julian Izenman
This is the first book to describe modern methods for analyzing complex networks arising from a wide range of disciplines.
December 2022 254 x 177 mm 550pp
HB, EB, HE
978-1-108-83576-3 Hardback
£56.99 / US$74.99 X
Bradley Efron
Trevor Hastie
Now in paperback and fortified with exercises, this brilliant, enjoyable text demystifies data science, statistics and machine learning.
Institute of Mathematical Statistics Monographs, 6
June 2021 228 x 152 mm 506pp
PB, EB, HE
978-1-108-82341-8 Paperback £29.99 / US$39.99 P
Chirag Shah
An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.
April 2020 246 x 189 mm 424pp 5 b/w illus. 135 colour illus. 36 tables 154 exercises
HB, EB, HE
978-1-108-47244-9 Hardback £39.99 / US$49.99 P
Third edition
Jure Leskovec
Anand Rajaraman
Jeffrey David Ullman
Now in its third edition, this book focuses on practical algorithms for mining data from even the largest datasets.
January 2020 244 x 170 mm 565pp
76 b/w illus. 250 exercises
HB, EB, HE
978-1-108-47634-8 Hardback £59.99 / US$74.99 P
Fundamental Concepts and Algorithms
Second edition
Mohammed J. Zaki
Wagner Meira, Jr
New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.
January 2020 253 x 177 mm 776pp
297 b/w illus.
HB, EB, HE
978-1-108-47398-9 Hardback £57.99 / US$74.99 P
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Gábor Békés
Gábor Kézdi
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
May 2021 246 x 189 mm 738pp
PB, HB, EB, HE
978-1-108-71620-8 Paperback
£49.99 / US$64.99 X
Stephen J. Wright
Benjamin Recht
A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.
April 2022 229 x 152 mm 238pp
HB, EB, CO
978-1-316-51898-4 Hardback £37.99 / US$49.99 P
Avrim Blum
John Hopcroft
Ravindran Kannan
Covers mathematical and algorithmic foundations of data science: machine learning, highdimensional geometry, and analysis of large networks.
January 2020 253 x 177 mm 432pp
HB, EB, CO
978-1-108-48506-7 Hardback £40.99 / US$51.99 C
Alfred Z. Spector
Peter Norvig
Chris Wiggins
Jeannette M. Wing
Four leading experts convey the promise of data science and examine challenges in achieving its benefits and mitigating some harms.
October 2022 244 x 170 mm 335pp
HB, EB, CO
978-1-00-927220-9 Hardback £29.99 / US$39.99 P
Simon Foucart
A diverse selection of data science topics explored through a mathematical lens.
April 2022 228 x 152 mm 350pp
PB, HB, EB, CO
978-1-00-900185-4 Paperback £29.99 / US$39.99 P
Third edition
W. John Braun
Duncan J. Murdoch
Get started computing with data. Learn general principles while learning R – now including the tidyverse
May 2021 246 x 189 mm 280pp
PB, EB, HE
978-1-108-99514-6 Paperback £34.99 / US$44.99 P
The Practical Guide to Storing, Managing and Analyzing Big and Small Data
Wilfried Lemahieu
Seppe vanden Broucke
Bart Baesens
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
July 2018 246 x 189 mm 808pp 439 colour illus. 163 tables HB, EB, HE 978-1-107-18612-5 Hardback £54.99 / US$70.99 X
Introduction to Information
Retrieval
Christopher D. Manning
Prabhakar Raghavan
Hinrich Schütze
A class-tested and up-to-date textbook for introductory courses on information retrieval.
September 2008 253 x 177 mm 506pp 5 b/w illus. 47 tables 263 exercises HB, EB, HE 978-0-521-86571-5 Hardback £50.99 / US$70.99 X
Principles and Performance
Andrew A. Chien
A principled, high-level view of computer performance and how to exploit it. Ideal for software architects and data scientists.
March 2022 229 x 152 mm 264pp
HB, EB, HE
978-1-316-51853-3 Hardback £49.99 / US$64.99 P
Modelling and Reasoning about Systems
Second edition
Michael Huth
Mark Ryan
Provides a sound basis in logic, and introduces logical frameworks used in modelling, specifying and verifying computer systems.
August 2004 247 x 174 mm 440pp
10 tables 400 exercises
PB, EB, HE
978-0-521-54310-1 Paperback £50.99 / US$65.99 X
A Systems Approach
William J. Dally
R. Curtis Harting
Tor M. Aamodt
Provides students with a systemlevel perspective and the tools they need to analyze and design complete digital systems using VHDL.
December 2015 246 x 189 mm 721pp 489 b/w illus. 68 tables
HB, EB, HE
978-1-107-09886-2 Hardback £56.99 / US$77.99 X
A Systems Approach
William J. Dally
R. Curtis Harting
This book provides students with a system-level perspective and the tools they need to analyze and design complete digital systems using Verilog.
November 2012 246 x 189 mm 636pp
469 b/w illus. 68 tables 639 exercises
HB 978-0-521-19950-6 Hardback £54.99 / US$71.99 X
Randomization and Probabilistic Techniques in Algorithms and Data Analysis
Second edition
Michael Mitzenmacher
Eli Upfal
This greatly expanded new edition offers a comprehensive introduction to randomization and probabilistic techniques in modern computer science.
July 2017 253 x 177 mm 484pp 8 b/w illus. 1 table HB, EB 978-1-107-15488-9 Hardback £47.99 / US$69.99 X
A Structured Approach
Third edition
Daniel J. Velleman
Helps students transition from problem solving to proving theorems, with a new chapter on number theory and over 150 new exercises.
July 2019 228 x 152 mm 468pp 47 b/w illus. PB, HB, EB, HE 978-1-108-43953-4 Paperback £31.99 / US$39.99 X
Shahriar Shahriari
A conversational introduction to combinatorics for upper undergraduates, emphasizing problem solving and active student participation.
Cambridge Mathematical Textbooks
July 2021 246 x 189 mm 628pp
HB, EB, HE 978-1-108-47654-6 Hardback £36.99 / US$47.99 X
www.cambridge.org/compscitextbooks
Second edition
David Liben-Nowell
An approachable textbook connecting the mathematical foundations of computer science to broad-ranging and compelling applications throughout the field.
August 2022 253 x 203 mm 690pp
HB, EB, HE
978-1-00-915049-1 Hardback £57.99 / US$74.99 X
Douglas B. West
This is the most readable and thorough graduate textbook and reference for combinatorics, covering enumeration, graphs, sets, and methods.
July 2020 246 x 189 mm 988pp 2200 exercises
HB, HE 978-1-107-05858-3 Hardback £59.99 / US$77.99 X
Bernhard von Stengel
A lively introduction to Game Theory, ideal for students in mathematics, computer science, or economics.
August 2021 246 x 189 mm 374pp
PB, HB, EB, HE
978-1-108-82423-1 Paperback £34.99 / US$44.99 X
Vectors, Matrices, and Least Squares
Stephen Boyd
Lieven Vandenberghe
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
June 2018 246 x 189 mm 474pp
HB, EB, HE
978-1-316-51896-0 Hardback £36.99 / US$48.99 X
Gilbert Strang
From Gilbert Strang, the first textbook that teaches linear algebra together with deep learning and neural nets.
NOT FOR SALE IN NORTH AMERICA
January 2019 234 x 191 mm 446pp
HB 978-0-692-19638-0 Hardback £58.99 / US$74.99 X
Yannai A. Gonczarowski
Noam Nisan
A unique approach to mathematical logic where students implement the underlying concepts and proofs in the Python programming language.
September 2022 253 x 177 mm 284pp
PB, HB, EB, CO
978-1-108-94947-7 Paperback £22.99 / US$29.99 P
Approach
Sanjeev Arora
Boaz Barak
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.
June 2009 253 x 215 mm 594pp
73 b/w illus. 6 tables 307 exercises
HB, EB, CO
978-0-521-42426-4 Hardback £51.99 / US$67.99 C
The Study of Emergence
Henrik Jeldtoft Jensen
This introductory textbook provides detailed coverage of the rapidly growing field of complexity science, for a broad audience of readers.
November 2022 254 x 178 mm 458pp
HB, EB, HE
978-1-108-83476-6 Hardback £39.99 / US$49.99 X
Filippo Menczer
Santo Fortunato
Clayton A. Davis
A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines.
February 2020 246 x 189 mm 300pp 131 b/w illus. 131 colour illus. HB, EB, HE 978-1-108-47113-8 Hardback £34.99 / US$44.99 X
Albert-László Barabási
Márton Pósfai
Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science.
July 2016 246 x 189 mm 475pp 371 colour illus. 12 tables 30 exercises HB
978-1-107-07626-6 Hardback £42.99 / US$55.99 X
Reasoning about a Highly Connected World
David Easley
Jon Kleinberg
Reveals the interdisciplinary field of networks, which changes how we look at social, financial and technological interactions in modern society.
September 2010 253 x 215 mm 744pp
332 b/w illus. 128 exercises
HB, EB, CO
978-0-521-19533-1 Hardback £51.99 / US$67.99 C
Basic Principles and Best Practices
Ravi Sethi
Designed for introductory courses with a significant team project, this textbook presents concepts with real-life case studies and examples.
December 2022 244 x 170 mm 326pp
HB, EB, HE
978-1-316-51194-7 Hardback £44.99 / US$59.99 X
Omnibus Edition
Tim Roughgarden
Algorithms Illuminated teaches the basics and key techniques of algorithms in the most accessible way imaginable.
January 2023 253 x 177 mm 690pp 350 b/w illus. 60 tables 200 exercises
HB, HE
978-0-9992829-8-4 Hardback £47.99 / US$59.97 X
Build, Prove, and Compare
Norman Ramsey
Teaches students about great programming-language ideas and how to use them in programming practice.
October 2022 254 x 178 mm 600pp
HB, EB, HE
978-1-107-18018-5 Hardback £64.99 / US$84.99 P
Second edition
Jeff Edmonds
Exceptionally student-friendly, revised, with over 150 new exercises, key concept summaries, and a new chapter on machine learning algorithms.
November 2023 244 x 170 mm 500pp
PB, HB, EB, HE
978-1-00-930213-5 Paperback
£29.99 / US$39.99 X
Ralf Bierig
Stephen Brown
Edgar Galván
Joe Timoney
This accessible introduction demonstrates a range of testing techniques in the context of a single worked example that runs throughout.
August 2021 244 x 170 mm 318pp
HB, EB, HE
978-1-108-83334-9 Hardback
£44.99 / US$59.99 P
Second edition
Paul Ammann
Jeff Offutt
This classroom-tested new edition features expanded coverage of the basics and test automation frameworks, with new exercises and examples.
December 2016 253 x 177 mm 364pp
79 b/w illus. HB, EB, HE 978-1-107-17201-2 Hardback £50.99 / US$70.99 X
128 Algorithms to Develop your Coding Skills
Christoph Dürr
Jill-Jênn Vie
Translated by Greg Gibbons
Danièle Gibbons
All the algorithms, proofs, and implementations in Python you need to know for tech job interviews and coding competitions.
December 2020 244 x 170 mm 264pp
PB, EB, CO
978-1-108-71682-6 Paperback £29.99 / US$39.99 P
Second edition
Graham Hutton
This extensively updated and expanded version of the best-selling first edition now covers recent and more advanced features of Haskell.
September 2016 216 x 138 mm 318pp
1 b/w illus. 120 exercises
PB, EB, HE
978-1-316-62622-1 Paperback
£31.99 / US$41.99 X
Second edition
Andrew W. Appel
With Jens Palsberg
The second edition features a redesigned compiler project in Java, for a subset of Java itself.
October 2002 246 x 156 mm 512pp 80 b/w illus. 35 tables 135 exercises
HB, EB, CO
978-0-521-82060-8 Hardback £61.99 / US$94.99 X
Andrew W. Appel
Describes all phases of a modern compiler, including techniques in code generation and register allocation for imperative, functional and object-oriented languages.
July 2004 246 x 189 mm 552pp 80 b/w illus. 34 tables 117 exercises PB, EB, CO
978-0-521-60764-3 Paperback £57.99 / US$84.99 X
Andrew W. Appel
With Maia Ginsburg
Describes all phases of a modern compiler, including techniques in code generation and register allocation for imperative, functional and object-oriented languages.
July 2004 246 x 189 mm 556pp 80 b/w illus. 34 tables 117 exercises PB, EB, CO
978-0-521-60765-0 Paperback £60.99 / US$84.99 X
10th Anniversary Edition
Michael A. Nielsen
Isaac L. Chuang
This 10th anniversary edition includes an introduction from the authors setting the work in context.
December 2010 247 x 174 mm 702pp 200 b/w illus. 10 tables 598 exercises
HB, EB, HE
978-1-107-00217-3 Hardback £56.99 / US$75.99 X
Scott Aaronson
Takes students and researchers on a tour through some of the deepest ideas of maths, computer science and physics.
March 2013 228 x 152 mm 398pp
25 b/w illus.
PB, EB, CO
978-0-521-19956-8 Paperback £39.99 / US$51.99 P
Noson S. Yanofsky
Mirco A. Mannucci
Finally, a textbook that explains quantum computing using techniques and concepts familiar to computer scientists.
November 2008 253 x 177 mm 402pp
4 b/w illus. 245 exercises
HB, EB, CO
978-0-521-87996-5 Hardback
£65.99 / US$89.99 X
An Introduction
N. David Mermin
A concise introduction to quantum computation for computer scientists who know nothing about quantum theory.
August 2007 246 x 189 mm 233pp 67 b/w illus.
HB, EB, CO
978-0-521-87658-2 Hardback £51.99 / US$70.99 X
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