Top 22 Best AI, Machine Learning and Deep Learning Books of All Time

The recent explosion of interest in AI, Machine Learning, and Deep Learning has been reflected by an explosion in book titles on these same topics. One of the best ways to determine which books could be helpful for your career is to look at which books others are reading.

If you are seeking some best books to become more acquainted with the essentials of AI, Machine Learning and Deep Learning. Here are some books to help you to find the best books of all time on AI, ML and DL.


Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach (AIMA) is a university textbook on artificial intelligence, written by Stuart J. Russell and Peter Norvig. The third edition of the book was released on 11 December 2009. It is used in over 1100 universities worldwide and has been called “the most popular artificial intelligence textbook in the world”.

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Besides being a profound and entertaining meditation on human thought and creativity, this book looks at the surprising points of contact between the music of Bach, the artwork of Escher, and the mathematics of Gödel. It also looks at the prospects for computers and Artificial Intelligence (AI) for mimicking human thought.

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To be a Machine by Mark O’Connell

To Be a Machine: Adventures Among Cyborgs, Utopians, Hackers, and the Futurists Solving the Modest Problem of Death (Mark O’Connell). “Flesh is a dead format,” writes Mark O’Connell in To Be a Machine, his new nonfiction book about the contemporary transhumanist movement. It’s an alarming statement, but don’t kill the messenger: As he’s eager to explain early in the book, the author is not a transhumanist himself. Instead, he’s used To Be a Machine as a vehicle to dive into this loosely knit movement, which he sums up as “a rebellion against human existence as it has been given.” In other words, transhumanists believe that technology — specifically, a direct interface between humans and machines — is the only way our species can progress from its current, far-than-ideal state. Evolution is now in our hands, they claim, and if that means shedding the evolutionary training wheels of the flesh itself, so be it

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How to Create a Mind: The Secret of Human Thought Revealed

How to Create a Mind: The Secret of Human Thought Revealed” is a non-fiction book about brains, both human and artificial, by the inventor and futurist Ray Kurzweil. First published in hardcover on November 13, 2012, “How to Create a Mind” became a New York Times Best Seller.

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Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville

Deep learning: Ian Goodfellow and Yoshua Bengio and Aaron Courville. 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 computer gathers knowledge from experience, there is no need for a human-computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

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The Singularity Is Near

The Singularity Is Near: When Humans Transcend Biology. The Singularity Is Near: When Humans Transcend Biology is a 2006 non-fiction book about artificial intelligence and the future of humanity by inventor and futurist Ray Kurzweil.

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Surviving AI

Surviving AI: The Promise and Peril of Artificial Intelligence. A good book for the curious about Artificial Intelligence. Calum Chace did a good job of providing an overview of the history of AI, how we got to where we are and some possibilities of what is to come. A fascinating look into our future.

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Through profiles of tech visionaries, industry watchdogs, and groundbreaking AI systems, James Barrat’s Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to?

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Humans Need Not Apply

Jerry Kaplan’s latest book is “Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence”. Selected as one of the 10 best science and technology books of 2015 by The Economist, Humans Need Not Apply is a call to arms for the age of artificially intelligent machines. The robots are coming, but whether they will be working on behalf of a society or a small cadre of the super-rich is very much in doubt.

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Machine Learning with TensorFlow

Machine Learning with TensorFlow” gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. You’ll learn the basics by working with classic prediction, classification, and clustering algorithms. Then, you’ll move on to the money chapters: an exploration of deep-learning concepts like autoencoders, recurrent neural networks, and reinforcement learning. Digest this book and you will be ready to use TensorFlow for machine-learning and deep-learning applications of your own.

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Beyond Genuine Stupidity

The first book in the Fast Future series, Beyond Genuine Stupidity: Ensuring AI Serves Humanity, explores critical emerging issues arising from the rapid pace of development in artificial intelligence (AI). The authors argue for a forward-looking and conscious approach to the development and deployment of AI to ensure that it genuinely serves humanity’s best interest. Through a series of articles, they present a compelling case to get beyond the genuine stupidity of narrow, short-term and alarmist thinking and look at AI from a long-term holistic perspective.

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Origin is a 2017 science fiction mystery thriller novel by American author Dan Brown. and the fifth installment in his Robert Langdon series, following Angels & Demons, The Da Vinci Code, The Lost Symbol, and Inferno. The book was released on October 3, 2017, by Doubleday.

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LIFE 3.0

Life 3.0

How will artificial intelligence 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 than any other technology – and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial.

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On Intelligence

On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines by Jeff Hawkins and Sandra Blakeslee.  From the inventor of the PalmPilot comes a new and compelling theory of intelligence, brain function, and the future of intelligent machines.

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The Master Algorithm

Domingos’s book “The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World” is one of the books which Bill Gates recommends in order to understand Artificial Intelligence.

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Thinking Machines

Thinking Machines: The Quest for Artificial Intelligence–and Where It’s Taking Us Next by Luke Dormehl. 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 among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways, the future people dreamed of at the World’s Fair in the 1960s is already here. We’re teaching our machines how to think like humans, and they’re learning at an incredible rate.

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What to Do When Machines Do Everything

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete. Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.

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What to Do When Machines Do Everything

Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins. One of the greatest chess players in history, Garry Kasparov lost a memorable match to IBM supercomputer Deep Blue in 1997. This match was One Big Loss for a Man, One Giant Win for Mankind. This defeat was seen as a major milestone for Artificial Intelligence.

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What to Do When Machines Do Everything

The Man Who Knew Too Much: Alan Turing and the Invention of the Computer: David Leavitt. A “skillful and literate” (New York Times Book Review) biography of the persecuted genius who helped create the modern computer. To solve one of the great mathematical problems of his day, Alan Turing proposed an imaginary computer. Then, attempting to break a Nazi code during World War II, he successfully designed and built one, thus ensuring the Allied victory. Turing became a champion of artificial intelligence, but his work was cut short. As an openly gay man at a time when homosexuality was illegal in England, he was convicted and forced to undergo a humiliating “treatment” that may have led to his suicide.

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Hands-On Machine Learning with Scikit-Learn and TensorFlow

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems: Aurélien Géron. 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.

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Superintelligence: Paths, Dangers, Strategies by Nick Bostrom. 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.

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Heartificial Intelligence, by John C. Havens

Heartificial Intelligence, by John C. Havens.. In Heartificial Intelligence, author John C. Havens introduces a realm of algorithms and smart machines well beyond anything you might know about. How do we navigate a world in which software is intelligent enough to learn from our behaviors and manipulate us to click and consume? What happens when that software is the soul of a robot caring for the elderly? Figure this stuff out now or pay the price later when every bit of your life is a datapoint owned by tech giants, Havens suggests.

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