Top Artificial Intelligence Books to Read in 2021

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The book Artificial Intelligence, by Stuart Russell and Peter Norvig, is called A Modern Approach.
A Cutting-Edge Method, This third edition is the best available introduction to AI theory and practise. This best-selling textbook is designed for AI classes at both the undergraduate and graduate levels.

Marvin Minsky’s The Emotion Machine discusses the intersection between AI, common sense, and the future of the human brain.

In this mind-boggling tome, pioneering scientist Marvin Minsky presents a novel new explanation for how our brains function. He makes a convincing case that we shouldn’t think of emotions, intuitions, and feelings as separate entities but rather as various modes of thought.

Philip C. Jackson’s An Overview of ANN

Computer reasoning processes, as well as research methods and findings over the past two decades, are introduced in Introduction to Artificial Intelligence. Everything from representation and models to games to automated natural language processing to robot systems to heuristic scene analysis to concrete AI achievements is laid down clearly and simply here for your perusal. Topics such as automatic programming, innovative software approaches, industrial automation, and psychological simulation are covered as well.

The Greatest Algorithm Ever Created, by Pedro Domingos

If data-ism becomes the dominant philosophical movement of our time, this book will serve as its holy text. The pursuit of global education ranks among the greatest intellectual achievements of all time. The Master Algorithm, a ground-breaking book, is the must-read for anybody who wants to know not only how the revolution will occur, but also how to be at the vanguard of it.

Understanding Machines, by Tom M. Mitchell

In this book, you’ll learn about the science of machine learning, which focuses on the algorithms that let computers learn from their own mistakes. The target audience for this book is students in advanced undergraduate and beginning graduate machine learning courses.

Author Ray Kurzweil predicts the arrival of “the singularity”

The St. Louis Post-Dispatch named it one of the best nonfiction books of 2005, while CBS News named it one of the best fall books of 2005. Considered by Amazon.com to be among the year’s finest scientific works

From the best-selling author of How to Create a Mind and The Age of Spiritual Machines, whom Bill Gates has called “the finest person I know at predicting the future of artificial intelligence,” comes a daring and optimistic look at the trajectory of human progress in the years to come.

Andriy Burkov’s One Hundred-Page Machine Learning tome

Excellent and concise, this book introduces readers to a wide range of ML methods for addressing both supervised and unsupervised learning challenges. The author discusses all of the relevant points, going into sufficient depth while still remaining comprehensible and brief. This book is a must-read for anyone who wants to get a firm grasp of ML in just 100-150 pages.

Ray Kurzweil’s How to Make a Mind: The Unlocking of the Human Mind’s Greatest Secret

In his much-anticipated book, How to Create a Mind, Ray Kurzweil takes this investigation to the next level by attempting to reverse-engineer the brain in order to figure out its inner workings and then use that information to build artificially intelligent devices.

Paul R. Daugherty’s Human + Machine: Rethinking Labor in the Age of Artificial Intelligence

Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson demonstrate in Human + Machine that the essence of the AI paradigm shift is the transformation of all business processes within an organisation, including those relating to groundbreaking innovation, everyday customer service, and personal productivity habits. When humans and intelligent robots work together, workflows become more malleable and adaptable, allowing businesses to make changes quickly or fundamentally rethink how they do things. Business as usual is being upended by AI.

By Nick Bostrom: Roadmaps, Threats, and Tactics in the Age of Superintelligence

This ambitious and unique book simplifies a broad expanse of complex ideas. Nick Bostrom’s work is nothing less than a reconceptualization of the vital mission of our time, and it takes us on a fascinating journey to the cutting edge of our understanding of the human condition and the future of sentient life.

Hannah Fry’s book “Hello, World!” is titled “Being Human in the Age of Algorithms.”

Many of the stories we’ve heard about the potential of AI have been extremely optimistic or extremely pessimistic. Important decisions in healthcare, transportation, crime, and commerce are increasingly being automated by algorithms, and it’s time we faced them head-on in the digital realm. With the always amusing Hannah Fry at the helm, Hello Future serves as essential training for the ethical challenges that will arise in a world ruled by computer code.

By Ian Goodfellow, in the series Adaptive Computation and Machine Learning: Deep Learning

Linear algebra, probability theory, information theory, numerical computation, and machine learning are only few of the areas of mathematics and theory covered in this text. It surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames, and it describes deep learning techniques used by practitioners in industry, such as deep feedforward networks, regularisation, optimization algorithms, convolutional networks, sequence modelling, and practical methodology. Linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximation inference, and deep generative models are only some of the theoretical topics explored in this book.

Amir Husain’s The Sentient Machine: Artificial Intelligence in the Twenty-First Century.

Husain “prepares us for a brighter future; not with hyperbole about right and bad, but with real arguments about risk and possibility” in The Sentient Machine (Dr. Greg Hyslop, Chief Technology Officer, The Boeing Company). In light of the impending arrival of AI, he discusses existential concerns such as, “Why are we valuable?” In this world, what can we make? Explain how it is that humans possess such high levels of intelligence. In what ways do we think that we have made progress? How, then, could we possibly stall our development? Husain simplifies difficult AI and CS topics for a general audience, using examples from many different fields and eras to drive home his points. Husain ultimately undermines many of our commonly held beliefs about what constitutes a “happy life.”

What Every Person Should Know About Artificial IntelligenceR, by Jerry Kaplan

The development of self-aware systems begs the question of whose interests they may serve and what constraints our society should set on their design and implementation. There will be a sudden influx of weighty moral issues that have plagued philosophers for centuries to our courthouses. To what extent may a machine be held liable for its actions? When compared to property, should intelligent systems be accorded independent rights and responsibilities? If a self-driving automobile were to hit and kill a pedestrian, who would be held liable? Can you use your own robot to take your spot in line or be made to testify against you? Will it still be you if your thoughts can be uploaded into a machine? It’s possible that the results will shock you.