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45 Best Artificial Intelligence Books

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AI Superpowers
China, Silicon Valley, and the New World Order
by Kai-Fu Lee (Sep 25, 2018)
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Dr. Kai-Fu Lee—one of the world’s most respected experts on AI and China—reveals that China has suddenly caught up to the US at an astonishingly rapid and unexpected pace. In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. I...
Life 3.0
Being Human in the Age of Artificial Intelligence
by Max Tegmark (Jul 31, 2018)
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In this authoritative and eye-opening book, Max Tegmark describes and illuminates the recent, path-breaking advances in Artificial Intelligence and how it is poised to overtake human intelligence. How will AI affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more th...
Deep Learning
by Ian Goodfellow (Nov 17, 2016)
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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the compu...
Game Changer
AlphaZero's Groundbreaking Chess Strategies and the Promise of AI
by Matthew Sadler (Feb 15, 2019)
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It took AlphaZero only a few hours of self-learning to become the chess player that shocked the world. The artificial intelligence system, created by DeepMind, had been fed nothing but the rules of the Royal Game when it beat the world’s strongest chess engine in a prolonged match. The selection of ten games published in December 2017 created a wor...
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Concepts, Tools, and Techniques to Build Intelligent Systems
by Aurélien Géron (Apr 17, 2017)
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Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two pro...
Recommended by
Tim O’Reilly
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Concepts, Tools, and Techniques to Build Intelligent Systems
by Aurélien Géron (Oct 14, 2019)
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Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two pro...
Recommended by
Kirk Borne
Machine Learning
A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
by Kevin P. Murphy (Aug 23, 2012)
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A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to pre...
Recommended by
Kirk Borne
Paradigms of Artificial Intelligence Programming
Case Studies in Common Lisp
by Peter Norvig (Sep 30, 1991)
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"Paradigms of AI Programming" is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programm...
Recommended by
Patrick Collison
Python Machine Learning
Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
by Sebastian Raschka (Dec 12, 2019)
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Link to the GitHub Repository containing the code examples and additional material: https://github.com/rasbt/python-machi...Many of the most innovative breakthroughs and exciting new technologies can be attributed to applications of machine learning. We are living in an age where data comes in abundance, and thanks to the self-learning algorithms f...
Recommended by
Kirk Borne
Human Compatible
Artificial Intelligence and the Problem of Control
by Stuart Russell (Oct 08, 2019)
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A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between huma...
Recommended by
Elon Musk
Generative Deep Learning
Teaching Machines to Paint, Write, Compose, and Play
by David Foster (Jul 15, 2019)
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Generative modeling is one of the hottest topics in artificial intelligence. Recent advances in the field have shown how it's possible to teach a machine to excel at human endeavors--such as drawing, composing music, and completing tasks--by generating an understanding of how its actions affect its environment.With this practical book, machine lear...
Recommended by
Kirk Borne
The Fourth Age
Smart Robots, Conscious Computers, and the Future of Humanity
by Byron Reese (Mar 17, 2020)
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As we approach a great turning point in history when technology is poised to redefine what it means to be human, The Fourth Age offers fascinating insight into AI, robotics, and their extraordinary implications for our species. “If you only read just one book about the AI revolution, make it this one” (John Mackey, cofounder and CEO, Whole Foods Ma...
Recommended by
Kirk Borne
The Sciences of the Artificial
by Herbert A. Simon (Sep 30, 1996)
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Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon's classic work on artificial intelligence adds a chapter that sorts out the current themes and tools -- chaos, adaptive systems, genetic algorithms -- for analyzing complexity and complex systems. There are updates throughout th...
Recommended by
Alan Kay
Deep Learning with Python
by François Chollet (Dec 21, 2017)
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Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on ...
Pattern Recognition and Machine Learning
by Christopher M. Bishop (Aug 16, 2006)
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Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream,...
Artificial Intelligence
A Modern Approach (2nd Edition)
by Stuart Russell (Dec 29, 2002)
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For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as...
Artificial Intelligence
A Guide for Thinking Humans
by Melanie Mitchell (Oct 15, 2019)
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A sweeping examination of the current state of artificial intelligence and how it is remaking our worldNo recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s ...
Reinforcement Learning
An Introduction (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series)
by Richard S. Sutton (Feb 28, 1998)
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Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a...
Architects of Intelligence
The truth about AI from the people building it
by Martin Ford (Nov 23, 2018)
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Financial Times Best Books of the Year 2018...
The Age of Intelligent Machines
by Ray Kurzweil (Jan 30, 1992)
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In The Age of Intelligent Machines, inventor and computer scientist Raymond Kurzweil probes the past, present, and future of artificial intelligence, from its earliest philosophical and mathematical roots to tantalizing glimpses of 21st-century machines with superior intelligence and prodigious speed and memory....
Quest for Artificial Intelligence
by Nils J Nilsson (Oct 29, 2009)
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Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone'...
Probabilistic Reasoning in Intelligent Systems
Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning)
by Judea Pearl (Sep 14, 1988)
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Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI appr...
The Cambridge Handbook of Artificial Intelligence
by Keith Frankish (Jun 12, 2014)
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Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with ou...
Bayesian Reasoning and Machine Learning Paperback
by by Prof David Barber (Jan 01, 2014)
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Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding job...
Superintelligence
Paths, Dangers, Strategies
by Nick Bostrom (Apr 30, 2016)
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A New York Times bestseller Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life.The human brain has some capabilities that the brains of other animals lack. It...
Robot
Mere Machine to Transcendent Mind
by Hans Moravec (May 17, 2000)
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In this compelling book, Hans Moravec predicts that machines will attain human levels of intelligence by the year 2040, and that by 2050, they will surpass us. But even though Moravec predicts the end of the domination by human beings, his is not a bleak vision. Far from railing against a future in which machines rule the world, Moravec embraces it...
Machine Learning
by Tom M. Mitchell (Sep 30, 1997)
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Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data....
Surviving AI
The promise and peril of artificial intelligence
by Calum Chace (Jul 29, 2015)
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Artificial intelligence is our most powerful technology, and in the coming decades it will change everything in our lives. If we get it right it will make humans almost godlike. If we get it wrong... well, extinction is not the worst possible outcome."Surviving AI" is a concise, easy-to-read guide to what's coming, taking you through technological ...
Recommended by
Derek Sivers
The Big Nine
How the Tech Titans and Their Thinking Machines Could Warp Humanity
by Amy Webb (Mar 03, 2020)
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A call-to-arms about the broken nature of artificial intelligence, and the powerful corporations that are turning the human-machine relationship on its head. We like to think that we are in control of the future of "artificial" intelligence. The reality, though, is that we--the everyday people whose data powers AI--aren't actually in control of any...
Prediction Machines
The Simple Economics of Artificial Intelligence
by Ajay Agrawal (Apr 17, 2018)
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"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google...
Master Algorithm, The
by Pedro Domingos (Jan 24, 2017)
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Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And in the world’s top research labs an...
Our Final Invention
Artificial Intelligence and the End of the Human Era
by James Barrat (Oct 01, 2013)
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In as little as a decade, artificial intelligence could match, then surpass human intelligence. Corporations & government agencies around the world are pouring billions into achieving AI’s Holy Grail—human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with ...
Recommended by
Elon MuskSam Harris
Rebooting AI
Building Artificial Intelligence We Can Trust
by Gary Marcus (Sep 10, 2019)
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Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust AI....
Possible Minds
Twenty-Five Ways of Looking at AI
by John Brockman (Feb 18, 2020)
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Science world luminary John Brockman assembles twenty-five of the most important scientific minds, people who have been thinking about the field artificial intelligence for most of their careers, for an unparalleled round-table examination about mind, thinking, intelligence and what it means to be human."Artificial intelligence is today's story--th...
The Economic Singularity
Artificial intelligence and the death of capitalism
by Calum Chace (Jul 18, 2016)
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“Read The Economic Singularity if you want to think intelligently about the future.” Aubrey de Grey Artificial intelligence (AI) is overtaking our human ability to absorb and process information. Robots are becoming increasingly dextrous, flexible, and safe to be around (except the military ones!).  It is our most powerful technology, and you need...
All Gifts, Bestowed
by Joshua Gayou (Jun 06, 2019)
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The next big thing in Artificial Intelligence is here. Codenamed Cronus, the machine is capable of having its own thoughts and ideasan absolute dream come true, until it wasnt. When Cronus responds with the word No, to a specific task it is assigned, Anagnorisis Technologies brings in Gilles Guattari to investigate. His combined background in Psych...
Recommended by
Glenn Beck
Human + Machine
Reimagining Work in the Age of AI
by Paul R. Daugherty (Mar 20, 2018)
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Review Named one of the "Best Business Books of 2018" by Fortune CEO Daily"the authors bring to life the realities of modern management. Readers gain a tactile sense of how technology changes busines...
Recommended by
Vala Afshar
The Master Algorithm
How the Quest for the Ultimate Learning Machine Will Remake Our World
by Pedro Domingos (Feb 13, 2018)
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A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our ownIn the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In Th...
The Emotion Machine
Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
by Marvin Minsky (Nov 13, 2007)
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Our minds are working all the time, but we rarely stop to think about how they work. The human mind has many different ways to think, says Marvin Minsky, the leading figure in artificial intelligence and computer science. We use these different ways of thinking in different circumstances, and some of them we don't even associate with thinking. For ...
Smarter Than Us
The Rise of Machine Intelligence
by Stuart Armstrong (May 01, 2014)
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What happens when machines become smarter than humans? Forget lumbering Terminators. The power of an artificial intelligence (AI) comes from its intelligence, not physical strength and laser guns. Humans steer the future not because we're the strongest or the fastest but because we're the smartest. When machines become smarter than humans, we'll be...
Machines of Loving Grace
The Quest for Common Ground Between Humans and Robots
by John Markoff (Aug 16, 2016)
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Robots are poised to transform today's society as completely as the Internet did twenty years ago. Pulitzer prize-winning New York Times science writer John Markoff argues that we must decide to design ourselves into our future, or risk being excluded from it altogether.In the past decade, Google introduced us to driverless cars; Apple debuted Siri...
Recommended by
Stewart Brand
Artificial Intelligence
The Basics
by Kevin Warwick (Aug 17, 2011)
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'if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' - Nick Smith, Engineering and Technology Magazine November 2011Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevi...
The Sentient Machine
The Coming Age of Artificial Intelligence
by Amir Husain (Nov 21, 2017)
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The future is now. Acclaimed technologist and inventor Amir Husain explains how we can live amidst the coming age of sentient machines and artificial intelligence—and not only survive, but thrive.Artificial “machine” intelligence is playing an ever-greater role in our society. We are already using cruise control in our cars, automatic checkout at t...
Thinking Machines
The Quest for Artificial Intelligence--and Where It's Taking Us Next
by Luke Dormehl (Mar 07, 2017)
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A fascinating look at Artificial Intelligence, from its humble Cold War beginnings to the dazzling future that is just around the corner.When most of us think about Artificial Intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that Artificial Intelligence is already amon...
What to Think About Machines That Think
Today's Leading Thinkers on the Age of Machine Intelligence (Edge Question Series)
by John Brockman (Oct 06, 2015)
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As the world becomes ever more dominated by technology, John Brockman’s latest addition to the acclaimed and bestselling “Edge Question Series” asks more than 175 leading scientists, philosophers, and artists: What do you think about machines that think?The development of artificial intelligence has been a source of fascination and anxiety ever sin...