10 Best Artificial Intelligence (AI) Books for Beginners

By | December 24, 2021
Best Artificial Intelligence Books

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.

Gaining the basic knowledge about the technology that you chose for your career is essential. If we talk in particular 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, we will first 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

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.

James V Stone is the writer of this book. Initially, he 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.

It is a 218-page book, and you can purchase it in Kindle and Paperback formats. Sebtel Press is the publisher of this book.

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.]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 apparently challenging areas of AI and ML.

Vinod Chandra S. S. and Anand Hareendran S. are the authors of this book. Anand Hareendran S. currently works at the Department of Computer Science and Engineering at the College of Engineering, Kulathoor. On the other hand, Vinod Chandra S. S. is a director at the Computer Centre, University of Kerala.

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 449-page book is published by PHI Learning, and it is available in Kindle and Paperback formats.

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

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

Neil Wilkins is the author of this comprehensive AI book. 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
  • Basic concepts
  • 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

The book is a short read as it only has 114 pages in total. Also, you can buy it in Kindle and Paperback editions, and Bravex Publications is its publisher.

You can buy this book from here.

4. Applied Artificial Intelligence: A Handbook for Business Leaders

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.

It is a 175-page book, which is available only in paperback format. Topbots Inc. is the publisher of this book.

You can buy this book from here.

5. 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, potential future for humanity, and how to maximize the chances of positive outcomes.

Max Tegmark is the author of this book, and he is a Swedish-American cosmologist. 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:

  • Life 1.0: Biological origins
  • Life 2.0: Technological age of humans
  • Life 3.0: Artificial General Intelligence

Later in the book, the author explained how advanced technologies, like self-driving cars, Deepmind and OpenAI, and AI players are defeating humans in Jeopardy, Chess, and Go.

He then discussed some significant issues in the current AI technology, the possible future of intelligent machines, and the coordination of humans and machines.

Knopf is the publisher of this 384-page book, and you can purchase it in Kindle, Paperback, and Hardcover formats.

You can buy this book from here.

6. Artificial Intelligence – A Modern Approach (3rd Edition)

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.

Stuart J. Russell and Peter Norvig are the writers of this book. Peter Norvig is an American Computer Scientist, and Stuart J. Russell is a British Computer Scientist. Russell is also a Computer Science Professor at the University of California, Berkeley.

The third edition of this book covered all the significant changes that took place in the field of artificial intelligence since the release of the previous edition. Moreover, the 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:

  • Artificial Intelligence
  • Problem-solving
  • Knowledge and reasoning
  • Uncertain knowledge and reasoning
  • Learning
  • Communicating, perceiving, and acting
  • Conclusions

The latest edition of this book is the fourth edition. It covers topics like deep learning, machine learning, multiagent systems, and probabilistic programming.

It is an 1164-page book, and you can get it in two formats: Kindle and Paperback. Pearson Education India is the publisher of this book.

You can buy this book from here.

7. 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 the contents of this book effectively.

Denis Rothman is the author of this book, and he has written three more comprehensive guides on AI technology. With this book, the author will help you become adaptive thinkers and use AI concepts in real-life circumstances.

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, and blockchain and IoT technologies.
  • Develop innovative thinking to accept challenges in the technological areas.

Ingram Short Title is the publisher of this 490-page book, and you can buy it in Paperback and Kindle editions.

You can buy this book from here.

8. Artificial Intelligence Basics: A Non-Technical Introduction

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 (NLP), machine learning, robotics, and deep learning. It 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.

Tom Taulli is the writer of this book, and he is the owner of many companies, including Hypermart.net.

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 book, the author stretches on questions that revolve around AI, like ethics, company structures, social trends, and the future impact of AI.

It is a 187-page book, and you can read it in Kindle and Paperback editions. Apress is the publisher of this book.

You can buy this book from here.

9. A First Course in Artificial Intelligence

This book is an excellent guide for individuals aiming to build small and intelligent systems using AI. It involves a step-by-step approach, covering various strategies, ranging from search-based techniques to knowledge-based methods, required for problem-solving.

Deepak Khemani is the writer of A First Course in Artificial Intelligence, and he is a faculty at the Department of Computer Science and Engineering, IIT Madras. In this book, he has explained conventional and state-of-art concepts of AI, like Beam search, tabu search, Ontology for the Semantic Web, Default Reasoning, etc.

The key highlights of this book are as follows:

  • Its writing and explanation style is incredibly lucid, concise, and rich that is 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.

McGraw Hill Education is the publisher of this book. Also, the total number of pages in this book is 944, and it is available only in the Paperback edition.

You can buy this book from here.

10. Artificial Intelligence in Healthcare

As its name suggests, this book primarily focuses on the role of artificial intelligence in the healthcare industry.

Parag Suresh Mahajan is the writer of this book, and he is an accomplished entrepreneurial CEO of various healthcare start-ups. Moreover, he is a clinical informatician, author, researcher, and teacher.

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 start-ups in AI in healthcare.
  • Ethical concerns associated with the use of AI in healthcare.
  • The role of AI in medical specialities.

It is a 162-page book, and you can read it in the Hardcover and Kindle editions. The author has published this book independently.

You can buy this book from here.


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 10 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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