Cambridge University Press Computer Science Textbooks Fall 2021

Higher Education

Computer Science New and bestselling textbooks

Fall 2021

1

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MACHINE LEARNING

5

Mathematics for Machine Learning Essentials of Pattern Recognition Machine Learning Refined High-Dimensional Data Analysis with Low-Dimensional Models Machine Learning Fundamentals Bayesian Reasoning and Machine Learning Understanding Machine Learning Machine Learning Bandit Algorithms

5 5 5 5 5 5 5 5 6

AI, NATURAL LANGUAGE PROCESSING, ROBOTICS, AND COMPUTER VISION

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Natural Language Processing Hey Cyba Artificial Intelligence Modern Robotics Computer Vision

6 6 6 6 6

DATA SCIENCE

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Computer Age Statistical Inference, Student Edition A Hands-On Introduction to Data Science Mining of Massive Datasets Data Mining and Machine Learning Data Analysis for Business, Economics, and Policy Optimization for Data Analysis Foundations of Data Science A First Course in Statistical Programming with R Modern Statistics for Modern Biology Data-Driven Science and Engineering Principles of Database Management Introduction to Information Retrieval

6 6 7 7 7 7 7 7 7 7 8 8

FOUNDATIONS

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Probability and Computing How to Prove It Combinatorial Mathematics Game Theory Basics Introduction to Applied Linear Algebra Linear Algebra and Learning from Data

8 8 8 8 8 8

The Probability Companion for Engineering and Computer Science Logic in Computer Science Computational Complexity Digital Design Using VHDL

9 9 9 9

NETWORK SCIENCE

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A First Course in Network Science Network Science Networks, Crowds and Markets

9 9 9

PROGRAMMING AND SOFTWARE DEVELOPMENT

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Essentials of Software Testing Introduction to Software Testing Competitive Programming in Python Programming in Haskell Modern Compiler Implementation in Java Modern Compiler Implementation in ML Modern Compiler Implementation in C

9 10 10 10 10 10 10

QUANTUM COMPUTING

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Quantum Computation and Quantum Information Quantum Computing since Democritus Quantum Computing for Computer Scientists Quantum Computer Science

10 10 11 11

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Our titles are available in a range of formats, including digitally for institutional access.

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MACHINE LEARNING

Mathematics for Machine Learning 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 c.398pp 3 b/w illus. 106 colour illus.

PB, HB, EB, HE 978-1-108-45514-5 Paperback £35.99 / US$46.99 P

Higher Education | Computer Science

MACHINE LEARNING

Mathematics for Machine Learning 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 £35.99 / US$46.99 P

Machine Learning Fundamentals A Concise Introduction Hui Jiang

Essentials of Pattern Recognition 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

Bayesian Reasoning and Machine Learning David Barber

A coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.

A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.

October 2021 253 x 203 mm c.400pp PB, HB, CO 978-1-108-94002-3 Paperback £39.99 / US$49.99 P

February 2012 246 x 189 mm 735pp 287 b/w illus. 1 table 260 exercises HB, EB, CO 978-0-521-51814-7 Hardback £60.99 / US$81.99 X

Machine Learning Refined Foundations, Algorithms, and Applications Second edition Jeremy Watt Reza Borhani and Aggelos K. Katsaggelos

An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.

High-Dimensional Data Analysis with Low-Dimensional Models Principles, Computation, and Applications John Wright Yi Ma

Connects fundamental mathematical theory with real-world problems, through efficient and scalable optimization algorithms.

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

December 2021 244 x 170 mm c.650pp HB 978-1-108-48973-7 Hardback c. £59.99 / c. US$79.99 P

Understanding Machine Learning

Machine Learning

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 £45.99 / US$59.99 P

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The Art and Science of Algorithms that Make Sense 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 HB, EB, CO 978-1-107-42222-3 Paperback £40.99 / US$53.99 P

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Higher Education | Computer Science

Bandit Algorithms 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

AI, NATURAL LANGUAGE PROCESSING, ROBOTICS, AND COMPUTER VISION

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.

Hey Cyba 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

Modern Robotics

Computer Vision

DATA SCIENCE

Mechanics, Planning, and Control Kevin M. Lynch and Frank C. Park

Models, Learning, and Inference Simon J. D. Prince

Computer Age Statistical Inference, Student Edition

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

August 2012 253 x 177 mm 598pp 357 colour illus. 5 tables 201 exercises HB, EB, CO 978-1-107-01179-3 Hardback £66.99 / US$89.99 X

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

January 2021 246 x 189 mm 484pp HB, EB, HE 978-1-108-42021-1 Hardback £53.99 / US$69.99 P

A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.

Artificial Intelligence

Algorithms, Evidence, and Data Science 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

A Hands-On Introduction to Data Science 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

June 2021 228 x 152 mm 506pp PB, EB, HE 978-1-108-82341-8 Paperback £29.99 / US$39.99 P

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Higher Education | Computer Science

Mining of Massive Datasets

Data Mining and Machine Learning

Third edition Jure Leskovec Anand Rajaraman and Jeffrey David Ullman

Fundamental Concepts and Algorithms Second edition Mohammed J. Zaki Wagner Meira, Jr

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

Foundations of Data Science Avrim Blum John Hopcroft Ravindran Kannan

Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.

January 2020 253 x 177 mm 432pp HB, EB, CO 978-1-108-48506-7 Hardback £38.99 / US$49.99 P

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

A First Course in Statistical Programming with R Third edition W. John Braun Duncan J. Murdoch

Get started computing with data.

Learn general principles while learning R – now including the tidyverse.

Data Analysis for Business, Economics, and Policy 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

Modern Statistics for Modern Biology Susan Holmes Wolfgang Huber

A far-reaching course in practical advanced statistics for biologists using R/Bioconductor, data exploration, and simulation.

February 2019 276 x 216 mm 402pp PB 978-1-108-70529-5 Paperback £49.99 / US$64.99 X

May 2021 246 x 189 mm 280pp PB, EB, HE 978-1-108-99514-6 Paperback £34.99 / US$44.99 P

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Optimization for Data Analysis Stephen J. Wright and Benjamin Recht

A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.

October 2021 229 x 152 mm c.300pp HB, CO 978-1-316-51898-4 Hardback £37.99 / US$49.99 P

Data-Driven Science and Engineering Machine Learning, Dynamical Systems, and Control Steven L. Brunton and J. Nathan Kutz

This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.

February 2019 253 x 177 mm 492pp HB, EB, CO 978-1-108-42209-3 Hardback £49.99 / US$64.99 P

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Higher Education | Computer Science

Principles of Database Management

Introduction to Information Retrieval

The Practical Guide to Storing, Managing and Analyzing Big and Small Data Wilfried Lemahieu Seppe vanden Broucke Bart Baesens

Christopher D. Manning Prabhakar Raghavan Hinrich Schütze

Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

September 2008 253 x 177 mm 506pp 5 b/w illus. 47 tables 263 exercises HB, EB, CO 978-0-521-86571-5 Hardback £50.99 / US$70.99 X

A class-tested and up-to-date textbook for introductory courses on information retrieval.

How to Prove It

Probability and Computing

A Structured Approach Third edition Daniel J. Velleman

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.

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, CO 978-1-108-43953-4 Paperback £29.99 / US$37.99 X

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

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

Combinatorial Mathematics

Game Theory Basics

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, EB 978-1-107-05858-3 Hardback £59.99 / US$77.99 X

FOUNDATIONS

Linear Algebra and Learning from Data

Bernhard von Stengel

Introduction to Applied Linear Algebra

A lively introduction to Game Theory, ideal for students in mathematics, computer science, or economics.

Vectors, Matrices, and Least Squares Stephen Boyd Lieven Vandenberghe

From Gilbert Strang, the first textbook that teaches linear algebra together with deep learning and neural nets.

August 2021 246 x 189 mm 374pp PB, HB, HE 978-1-108-82423-1 Paperback £34.99 / US$44.99 X

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

January 2019 234 x 191 mm 446pp HB 978-0-692-19638-0 Hardback £58.99 / US$74.99 X

Gilbert Strang

June 2018 246 x 189 mm 474pp HB, EB, HE 978-1-316-51896-0 Hardback £35.99 / US$50.99 X

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Higher Education | Computer Science

The Probability Companion for Engineering and Computer Science Adam Prügel-Bennett

Using examples and building intuition, this friendly guide helps readers understand and use probabilistic tools from basic to sophisticated.

January 2020 253 x 177 mm 470pp 356 b/w illus. PB, HB, EB, CO 978-1-108-72770-9 Paperback £39.99 / US$52.99 P

Logic in Computer Science

Computational Complexity

Digital Design Using VHDL

Modelling and Reasoning about Systems Second edition Michael Huth Mark Ryan

A Modern Approach Sanjeev Arora Boaz Barak

A Systems Approach William J. Dally R. Curtis Harting Tor M. Aamodt

Provides a sound basis in logic, and introduces logical frameworks used in modelling, specifying and verifying computer systems.

New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.

Provides students with a systemlevel perspective and the tools they need to analyze and design complete digital systems using VHDL.

August 2004 247 x 174 mm 440pp 10 tables 400 exercises PB, EB ,CO 978-0-521-54310-1 Paperback £50.99 / US$65.99 X

June 2009 253 x 215 mm 594pp 73 b/w illus. 6 tables 307 exercises HB, EB, CO 978-0-521-42426-4 Hardback £49.99 / US$64.99 P

December 2015 246 x 189 mm 721pp 489 b/w illus. 68 tables HB, EB, HE 978-1-107-09886-2 Hardback £55.99 / US$77.99 X

NETWORK SCIENCE

Network Science

A First Course in Network Science

Albert-László Barabási Márton Pósfai

Networks, Crowds, and Markets

PROGRAMMING AND SOFTWARE DEVELOPMENT

Filippo Menczer Santo Fortunato and 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

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 £41.99 / US$55.99 P

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 £49.99 / US$64.99 P

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Essentials of Software Testing Ralf Bierig Stephen Brown Edgar Galván and 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, HE 978-1-108-83334-9 Hardback £44.99 / US$59.99 P

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Higher Education | Computer Science

Introduction to Software Testing 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

Competitive Programming in Python 128 Algorithms to Develop your Coding Skills Christoph Dürr Jill-Jênn Vie Greg Gibbons Danièle Gibbons

All the algorithms, proofs, and implementations in Python you need to know for tech job interviews and coding competitions.

Programming in Haskell Second edition Graham Hutton

This extensively updated and expanded version of the bestselling 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 £30.99 / US$42.99 X

Modern Compiler Implementation in Java Second edition Andrew W. Appel 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 £60.99 / US$94.99 X

December 2020 244 x 170 mm 264pp PB, EB, CO 978-1-108-71682-6 Paperback £29.99 / US$39.99 P

Modern Compiler Implementation in ML

Modern Compiler Implementation in C

Andrew W. Appel

Andrew W. Appel 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 552pp 80 b/w illus. 34 tables 117 exercises PB, EB, CO 978-0-521-60764-3 Paperback £56.99 / US$84.99

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 £59.99 / US$87.99

QUANTUM COMPUTING

Quantum Computation and Quantum Information 10th Anniversary Edition Michael A. Nielsen Isaac L. Chuang

This 10th anniversary edition includes an introduction from the authors setting the work in context.

Quantum Computing since Democritus 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 £37.99 / US$49.99 P

December 2010 247 x 174 mm 702pp 200 b/w illus. 10 tables 598 exercises HB, EB, CO 978-1-107-00217-3 Hardback £56.99 / US$75.99 X

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10

Higher Education | Computer Science

Quantum Computing for Computer Scientists 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

Quantum Computer Science 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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11

Higher Education from Cambridge University Press These titles are available as eTextbooks for institutions to access and can be purchased individually or as a collection. Please ask your librarian to contact librarysales@cambridge.org for more information.

ISBN

TITLE

AUTHOR

UK & EUROPEAN PUB DATE

9781108455145

Mathematics for Machine Learning

Marc Peter Deisenroth , A. Aldo Faisal , Cheng Soon Ong

20/02/2020

9781108483469

Essentials of Pattern Recognition

Jianxin Wu

08/12/2020

9781108480727

Machine Learning Refined

Jeremy Watt , Reza Borhani , Aggelos K. Katsaggelos

05/02/2020

9781108420211

Natural Language Processing

Yue Zhang , Zhiyang Teng

07/02/2019

9781107195394

Artificial Intelligence

David L. Poole , Alan K. Mackworth

12/08/2019

9781108823418

Computer Age Statistical Inference, Student Edition

Bradley Efron , Trevor Hastie

14/06/2021

9781108472449

A Hands-On Introduction to Data Science

Chirag Shah

01/02/2020

9781108476348

Mining of Massive Datasets

Jure Leskovec , Anand Rajaraman , Jeffrey David Ullman

16/04/2020

9781108473989

Data Mining and Machine Learning

Mohammed J. Zaki , Wagner Meira, Jr

07/02/2020

9781108716208

Data Analysis for Business, Economics, and Policy

Gábor Békés , Gábor Kézdi

30/04/2021

9781108995146

A First Course in Statistical Programming with R

W. John Braun , Duncan J. Murdoch

10/05/2021

9781107186125

Principles of Database Management

Wilfried Lemahieu , Seppe vanden Broucke , Bart Baesens

17/08/2019

9781108824231

Game Theory Basics

Bernhard von Stengel

05/08/2021

9781316518960

Introduction to Applied Linear Algebra

Stephen Boyd , Lieven Vandenberghe

13/09/2019

9781107098862

Digital Design Using VHDL

William J. Dally , R. Curtis Harting

01/02/2019

9781108471138

A First Course in Network Science

Filippo Menczer , Santo Fortunato , Clayton A. Davis

05/02/2020

9781108833349

Essentials of Software Testing

Ralf Bierig , Stephen Brown , Edgar Galván , Joe Timoney

29/07/2021

9781107172012

Introduction to Software Testing

Paul Ammann , Jeff Offutt

28/05/2018

9781316626221

Programming in Haskell

Graham Hutton

28/05/2018

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