10 Best Artificial Intelligence Books for Beginners & Professionals

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10 Best Artificial Intelligence Books for Beginners & Professionals

Ramya Shankar
Last updated on November 6, 2022

    The 21st century has witnessed the rising popularity of futuristic technologies, like artificial intelligence and machine learning. As a result, many individuals wish to shape their careers in these cutting-edge technologies, and books are one of the best resources to learn them. Gaining the basic knowledge about the technology you chose for your career is essential. If we mainly talk about artificial intelligence , it is one of the most challenging technologies to work with.

    Thus, you need to ensure that you develop a solid understanding of its concepts, and for that, you can take assistance from specialized artificial intelligence books.

    Through this article, first, we will help you get familiar with the term artificial intelligence. Later, you will get to know about the best artificial intelligence books that can help you develop the knowledge essential for becoming an AI engineer. So, without wasting any time, let’s get started!

    What is Artificial Intelligence?

    Artificial intelligence is a technology that leverages computers and machines to emulate human capabilities, like decision-making and problem-solving.

    Alternatively, it is a technology concerned with the development of intelligent machines aimed to perform tasks requiring human intelligence. Some significant artificial intelligence applications are self-driving cars, email spam filters, Netflix’s recommendations, robot advisors, chatbots, and smart assistants.

    Natural language processing (NLP), problem-solving, planning, researching, and machine learning are the key research fields in artificial intelligence. Gaining foundational knowledge of AI concepts is crucial for kick-starting your career in the field of artificial intelligence.

    10 Best Artificial Intelligence Books for Freshers and Professionals in 2022

    Below we have listed some of the best books for you to learn artificial intelligence and develop the skills required to build intelligent systems.

    1. Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep learning

    Artificial Intelligence Engines- A Tutorial Introduction to the Mathematics of Deep learning

    Author: James V Stone

    Let us start our list of the best artificial intelligence books with Artificial Intelligence Engines. This book introduces you to the mathematical concepts essential for building deep learning networks. Also, you will learn how to create deep learning networks and utilize them effectively. You will get everything, from basics to advanced topics of neural networks, in this book.

    Initially, the author described what linear networks and nonlinear multilayer perceptrons are. Later, he introduced key learning algorithms of neural networks and the mathematics behind them. The author also added content aimed to help you become familiar with conventional neural networks, like perceptrons, and state-of-art deep neural networks, like Generative Adversarial Networks (GNAs).

    There are 11 chapters in this book, with each chapter discussing the foundational mathematics for supporting the topic. Also, this book introduces you to Boltzmann Machines and Hopfield Nets, providing a historical lineage. You can purchase this book in Kindle and Paperback formats.

    About the Author

    James V Stone is an Honorary Associate Professor at the University of Sheffield, UK.

    Publisher: Sebtel Press
    Paperback Print Length: 218 pages

    You can buy this book from here .

    2. Artificial Intelligence and Machine Learning

    ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING by [VINOD CHANDRA S.S., ANAND HAREENDRAN S.]

    Author: Vinod Chandra S. S. and Anand Hareendran S.

    This book serves as the best textbook on artificial intelligence (AI) and machine learning (ML) for computer science postgraduate and undergraduate students. It is a perfect guide that bridges the gap in knowledge of the challenging areas of AI and ML. The authors have incorporated ample examples and case studies of AI and ML in this book.

    Also, the book gives an introduction to AI and then gradually moves towards topics like game playing and heuristic searching. In the later parts of the book, you will come across the machine learning section, starting with the basics and covering different association rule learning algorithms.

    You will also explore multiple exercises and case studies for various learning types, including supervised, statistical, unsupervised, and reinforcement. This book is available in Kindle and Paperback formats.

    About the Author

    Anand Hareendran S. currently works at the Department of Computer Science and Engineering at the College of Engineering, Kulathoor. He has presented several research papers on machine learning at national and international conferences.

    Vinod Chandra S. S. is a director at the Computer Centre, University of Kerala. Currently, he is leading several e-Governance projects associated with the government of Kerala. Also, he holds more than a decade of experience teaching in various universities in Kerala.

    Publisher: PHI Learning
    Paperback Print Length: 449 pages

    You can buy this book from here .

    3. Artificial Intelligence: An Essential Beginner’s Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learning, Reinforcement Learning, and Our Future

    Artificial Intelligence: An Essential Beginner's Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learning, Reinforcement Learning, and Our Future

    Author: Neil Wilkins

    This artificial intelligence book is a comprehensive guide for beginners aiming to kick-start their careers in the AI domain. Consequently, it introduces you to cutting-edge technologies, including machine learning, deep learning , neural networks, artificial intelligence, IoT , and reinforcement learning.

    The author has described various fascinating topics related to artificial intelligence, including the ones mentioned below:

    • AI Myths
    • AI and Correcting face News
    • Confluence of Interests
    • AI and Big data
    • The motivation for Creating AI
    • AI and Employment
    • Manipulating the Limbic System
    • AI and The Legal System
    • AI and Self-Driving Vehicles
    • Fighting Against Tech Giants
    • AI as One World Religion
    • IoT Ecosystem
    • AI and Ethics
    • Fear-based Consumerism
    • AI and Loneliness
    • Seminal Inventions
    • AI and Social Credit
    • Tech Giants as Rulers of Society
    • AI and Growth Hacking
    • Hacking AI
    • AI as Sports References

    Also, you can buy it in Kindle and Paperback editions.

    About the Author

    Neil Wilkins has written several books on artificial intelligence, robotics, the Internet of things (IoT), and basic science.

    Publisher: Bravex Publications
    Paperback Print Length: 114 pages

    You can buy this book from here .

    4. Applied Artificial Intelligence: A Handbook for Business Leaders

    Applied Artificial Intelligence: A Handbook For Business Leaders

    Author: Adelyn Zhou

    Applied Artificial Intelligence is among the best artificial intelligence books for business leaders aiming to leverage AI to boost the productivity of their organizations. Also, it is a playbook for those wishing to introduce innovations by combining technology, data, design, and people at an enterprise level.

    The author of the book, Adelyn Zhou, highlights how you can lead AI initiatives by building a team of experts. Also, he explains how to prioritize the right opportunities, run strategic experiments, and design practical solutions beneficial for organizations and society.

    Moreover, this book helps business leaders understand AI and ML applications to make concrete business decisions. Therefore, this book is a definitive practical guide for those wishing to leverage AI and ML. This book is available only in paperback format.

    About the Author

    Adelyn Zhou is a leader in the growth and technology sector. Her interests include marketing and automation. Also, she is the top influence in marketing and artificial intelligence.

    Publisher: Topbots Inc.
    Paperback Print Length: 175 pages

    You can buy this book from here .

    5. Life 3.0: Being Human in the Age of Artificial Intelligence

    Life 3.0: Being Human in the Age of Artificial Intelligence

    Author: Max Tegmark

    Next up on our list of the best artificial intelligence books is Life 3.0: Being Human in the Age of Artificial Intelligence. This artificial intelligence book discusses the possible impact of AI on the future life on Earth. It also describes various societal implications, the potential future for humanity, and how to maximize the chances of positive outcomes.

    The author has begun by describing how AI has become the core of today’s society. He refers to the different phases of human life since its inception as:

    1. Biological origins: Life 1.0
    2. Technological age of humans: Life 2.0
    3. Artificial General Intelligence: Life 3.0

    Later in the book, the author explains how advanced technologies, like self-driving cars, Deepmind and OpenAI , and AI players are defeating humans in Jeopardy, Chess, and Go. He then discusses some significant issues in the current AI technology, the possible future of intelligent machines, and the coordination of humans and machines. You can purchase this book in Kindle, Paperback, and Hardcover formats.

    About the Author

    Max Tegmark is a professor of Physics at MIT. He is also the president of the Future of Life Institute.

    Publisher: Knopf
    Paperback Print Length: 384 pages

    You can buy this book from here .

    6. Artificial Intelligence - A Modern Approach

    Artificial Intelligence | Third Edition | By Pearson: A Modern Approach

    Author: Stuart J. Russell and Peter Norvig

    This book is one of the most popular artificial intelligence books across the world. It is ideal for undergraduate and graduate-level students to learn artificial intelligence. The third edition of this book covers all the significant changes that took place in the field of artificial intelligence since the release of the previous edition.

    Moreover, the AI book will help you get acquainted with various applications of AI , such as machine translation, household robotics, autonomous vehicles, and the deployment of practical speech recognition. This book is divided into seven parts that are as follows:

    1. Artificial intelligence
    2. Problem-solving
    3. Knowledge and reasoning
    4. Uncertain knowledge and reasoning
    5. Learning
    6. Communicating, perceiving, and acting
    7. Conclusions

    The latest edition of this book is the fourth edition. It covers topics like deep learning, machine learning, multiagent systems, and probabilistic programming . You can get this book in two formats: Kindle and Paperback.

    About the Author

    Peter Norvig is an American Computer Scientist. Currently, he is the Director for Research at Google and conducts an Intro AI class online at Stanford. Stuart J. Russell is a British Computer Scientist. He is also a Computer Science Professor at the University of California, Berkeley.

    Publisher: Pearson Education India
    Paperback Print Length: 1164 pages

    You can buy this book from here .

    7. Artificial Intelligence by Example

    Artificial Intelligence by Example: Develop machine intelligence from scratch using real artificial intelligence use cases

    Author: Denis Rothman

    The next name on our list of the best artificial intelligence books is Artificial Intelligence by Example. We can consider this book as a kick-start for those aiming to learn artificial intelligence.

    Moreover, it is an explanatory and descriptive AI guide with examples suitable for beginners and experienced developers, and technology consultants. However, you require a strong knowledge of Python and statistics to understand this book's contents effectively. The author will help you become adaptive thinkers and use AI concepts in real-life circumstances with this book.

    This book will help you to:

    • Develop advanced AI, deep learning, and machine learning expertise.
    • Comprehend various future AI solutions and bring them into practice quickly.
    • Learn about quantum computing, cognitive NLP chatbots, blockchain, and IoT technologies.
    • Develop innovative thinking to accept challenges in the technological areas.

    You can buy this book in Paperback and Kindle editions.

    About the Author

    Denis Rothman has written three comprehensive guides on AI technology. He has graduated from Sorbonne University and Paris-Diderot University.

    Publisher: Ingram Short Title
    Paperback Print Length: 490 pages

    You can buy this book from here .

    8. Artificial Intelligence Basics: A Non-Technical Introduction

    Artificial Intelligence Basics: A Non-Technical Introduction

    Author: Tom Taulli

    It is one of the best artificial intelligence books for non-technical aspirants, like managers. The book will introduce you to several crucial AI-related topics, like natural language processing , machine learning, robotics, and deep learning. Artificial Intelligence Basics also guides you through various real-world case studies and their practical implementation steps.

    Moreover, this book will make you aware of societal trends, ethics, and future impact on AI. With this book, you will learn:

    • The effective practices to implement AI solutions using various case studies.
    • How a business can improve its operations using AI.
    • How to improve customer service by deploying chatbots and Robotic Processing Automation (RPA).
    • The process of identifying risk factors and ethical concerns of using AI.
    • How to examine secular AI trends to improve the business.

    In the last sections of the AI book, the author stretches on questions that revolve around AI, like ethics, company structures, social trends, and the future impact of AI. You can read this book in Kindle and Paperback editions.

    About the Author

    Tom Taulli is the owner of many companies, including Hypermart.net. He has been in the software development industry since the 1980s. Moreover, he started his first company when he was in college, which focused on developing e-learning systems.

    Publisher: Apress
    Paperback Print Length: 187 pages

    You can buy this book from here .

    9. A First Course in Artificial Intelligence

    A First Course in Artificial Intelligence

    Author: Deepak Khemani

    Our second-to-last pick on the list of best artificial intelligence books is A First Course in Artificial Intelligence. This book is an excellent guide for individuals aiming to build small and intelligent systems using AI.

    Moreover, this AI book involves a step-by-step approach, covering various strategies, ranging from search-based techniques to knowledge-based methods, required for problem-solving. In this book, the author explains conventional and state-of-the-art concepts of AI, like Beam search, tabu search, Ontology for the Semantic Web, Default Reasoning, and so on.

    The key highlights of this book are as follows:

    • Its writing and explanation style is incredibly lucid, concise, and rich that are primarily targeted at beginners to the AI domain.
    • Full coverage of various AI approaches, starting from search-based to knowledge-based.
    • Well-explained and detailed algorithms with proofs.

    The author has categorized all AI concepts into 18 different topics in this book. The exciting feature of this book is that it provides an easy-to-understand explanation of every topic with figures, examples, and annotations. This book is available only in the Paperback edition.

    About the Author

    Deepak Khemani is a faculty at the Department of Computer Science and Engineering, IIT Madras.

    Publisher: McGraw Hill Education
    Paperback Print Length: 944 pages

    You can buy this book from here .

    10. Artificial Intelligence in Healthcare

    Artificial Intelligence in Healthcare

    Author: Parag Suresh Mahajan

    As its name suggests, this book primarily focuses on the role of artificial intelligence in the healthcare industry. The author has described AI’s current state and its applications in the healthcare field lucidly and concisely. This book discusses:

    • Different principles of AI and their applications.
    • The role of corporate players and startups in AI in healthcare.
    • Ethical concerns associated with the use of AI in healthcare.
    • The role of AI in medical specialties.

    You can read this book in the Hardcover and Kindle editions.

    About the Author

    Parag Suresh Mahajan is an accomplished entrepreneurial CEO of various healthcare startups. Moreover, he is a clinical informatician, author, researcher, and teacher.

    Publisher: Independently Published
    Paperback Print Length: 162 pages

    You can buy this book from here .

    Conclusion

    Artificial intelligence is one of the most influential technologies across the world that is impacting every industry. It is the driver of other cutting-edge technologies, like big data, IoT, robotics, and many more.

    If you have the quality to convert every bit of digital data into relevant human conclusions, this domain for your career is the best choice. Our curated list of the ten best artificial intelligence books will help you learn the fundamentals of AI.

    Also, pursuing a career in artificial intelligence gives you the flexibility to work in various industries, like education, arts, healthcare, government services, private organizations, and the military.

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    FAQs


    Artificial intelligence is a computer science discipline that deals with the simulation of human intelligence by machines.

    The best book to learn AI depends upon your knowledge and experience level with the subject. You can consider the above list of the best AI books to learn and grasp the concept of AI.

    Yes, it is possible to learn AI by yourself. Start understanding the basic concepts and theories of AI through online tutorials, blogs, and books. Later, try implementing the learned theories by developing small and simple AI proects. As you develop more projects, you will have an in-depth understanding of AI.

    The best way to start to learn AI is through books. Go through the above list of the best AI books and choose the one that fits your requirements.

    We recommend you go through commonly asked AI interview questions to recollect all AI concepts and understand the nature of questions that you can expect in an interview.

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