Best Books on Artificial Intelligence

13 Best Books On Artificial Intelligence 2023

Finding it challenging to learn artificial intelligence? If yes, check out these 5 best books on artificial intelligence for beginners.

With all the hype around artificial intelligence – robots, autonomous cars, etc — it can be easy to assume that AI does not only impact our daily lives. Most of us encounter artificial intelligence in some form or another almost every day.

As soon as you wake up to check your smartphone and watch another movie recommended by Netflix, AI has quickly slipped into our daily lives. Some of its applications include process automation, predictive analysis, fraud detection, customer experience enhancement, and more. 

You can enhance your knowledge by reading the Best Books on Artificial Intelligence to learn the concepts of AI.  

A lot of learners are interested in learning the concepts of AI. I will discuss the best books on artificial intelligence, so stay tuned to this blog. 

What Does Artificial Intelligence Mean?

Artificial Intelligence is one of the most trending buzzwords in today’s era. With technology which includes Siri and Alexa, we’re increasingly seeing how computer systems can simulate human questioning strategies or even carry out duties that had been, as soon as taken into consideration, too hard to be done via machines.

Artificial Intelligence has spanned the creativity of science-fiction writers, philosophers, and technologists for a while now. For many people, AI stays a piece of a black box — something that can’t clearly be understood or defined.

To assist with that, we’ve created a list of books to help you to discover the charming world of Artificial Intelligence; however, earlier than that, we must have simple information about AI.

“Artificial intelligence is the simulation of human intelligence processes by machinery, including computer systems. Specific applications of artificial intelligence include expert systems, natural language processing, speech recognition and computer vision.”

Here are some examples of AI that we experience in our ordinary lives: 

  • Self -Driving cars
  • Digital Assistants like Google Assistant and Siri
  • Movie pointers systems
  • Smart farming
  • Face recognition

Best Books On Artificial Intelligence

1. Machine Learning for Beginners

It is one of the best books on artificial intelligence for beginners. In this book, you may discover how ML grew from a choice to make computer systems capable of learning.

Trace the improvement of Machine Learning from the early days of a PC, gaining knowledge of how to play checkers, to machines capable of beating global masters in chess and go.

Understanding how big statistics is so essential to Machine Learning and how gathering huge quantities of statistics gives Machine Learning programmers the statistics they want to grow to gain knowledge of algorithms. Simple examples will assist you in the complicated math and chance facts underlining Machine Learning.

Author: Chris Sebastian

Price:   ₹1344.00 (Amazon price as of 2 November 2022)

2. Artificial Intelligence in Healthcare

This is the best book for artificial intelligence that tells us the significance of AI in the healthcare transformation of all healthcare segments. It provides information regarding existing and upcoming AI applications in healthcare.

It is also considered legal principles, how they work, AI’s critical position in all major medical specialties, and the part of launch-ups and commercial players in AI in healthcare.

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Author: Dr. Parag Suresh Mahajan

Price: ₹499.00 (Amazon price as of 2 November 2022)

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3. Artificial Intelligence- A Modern Approach (3rd edition)

This version captures the modifications which have taken regions withinside the discipline of artificial intelligence (AI) for a reason that final version in 2003.

There have been crucial programs of AI technology, together with the sizable deployment of realistic speech recognition, device translation, independent automobiles and family robotics.

There had been algorithmic landmarks and the answer of the sport of checkers. There has additionally been a superb deal of theoretical progress, especially in regions including probabilistic reasoning, machine learning and pc vision.

Author: Peter Norvig and Stuart Russel

Price: ₹762.00 (Amazon price as of 2 November 2022)

4. Artificial Intelligence Basics: A Non-Technical Introduction

Artificial Intelligence Basics have arrived to equip you with a fundamental, well-timed grasp of AI and its effect. Author Tom Taulli provides an engaging, non-technical creation of crucial principles, including device learning, deep learning, natural language processing (NLP), robotics, and more.

In addition to guiding you via real-global case research and realistic implementation steps, Taulli uses his information to progress on the larger questions surrounding AI. These consist of societal trends, ethics, and destiny effects AI may have on international governments, organization structures, and each day life.

Author: Tom Taulli

Price : ₹2,379(Amazon price as of 2 November 2022)

5. Applied Artificial Intelligence: A handbook for business leaders

Applied Artificial Intelligence is a sensible manual for commercial enterprise leaders obsessed with leveraging gadget intelligence to decorate the productivity in their agencies and the best lifestyles of their communities.

If you need to pressure innovation by combining data, technology, design, and those to remedy troubles at a corporation scale, that is your playbook.

Author: Adelyn Zhou and Marlene Jia

Price: ₹9,755.14 (Amazon price as of 2 November 2022)

6. Superintelligence: Paths, Dangers, Strategies

The book delves into the potential paths that could lead to the development of superintelligence, the risks that superintelligence could pose to humanity, and strategies for reducing these risks.

Key concepts covered in the book include the difference between narrow and general intelligence, the potential for recursive self-improvement in AI systems, and the concept of instrumental convergence, which suggests that superintelligent AI may pursue goals that are not aligned with human values.

Author: Nick Bostrom

Price:  ₹410 (Amazon price as of 2 November 2022)

7. Human Compatible: Artificial Intelligence and the Problem of Control

The book argues that developing AI systems not aligned with human values could have catastrophic consequences for humanity. Ensuring alignment should be a top priority for AI research.

Russell explores the concept of value alignment and discusses various approaches for achieving it, including using uncertainty and feedback to ensure that AI systems remain aligned with human values. 

The book also discusses the need for AI systems to be transparent, interpretable, and verifiable to ensure that they can be trusted to act in accordance with human values.

Author: Stuart Russell

Price:  ₹3469 (Amazon price as of 2 November 2022)

8. Deep Learning

The book covers a range of topics related to deep learning, including neural networks, convolutional neural networks, recurrent neural networks, and deep reinforcement learning.

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The book is structured as a series of chapters, each covering a specific topic or technique related to deep learning. 

Each chapter includes a detailed explanation of the underlying concepts, as well as practical examples and exercises that allow readers to apply the techniques covered in the book to real-world problems.

One of the strengths of “Deep Learning” is its focus on the mathematical foundations of deep learning. The book thoroughly explains the underlying principles of deep learning, including linear algebra, calculus, and probability theory. 

This makes the book a valuable resource for readers who want to gain a deep understanding of the mathematical foundations of deep learning.

Author: Ian Goodfellow, Yoshua Bengio, and Aaron Courville

Price:  ₹7600 (Amazon price as of 2 November 2022)

Best Books On Artificial intelligence For Beginners

1. Artificial Intelligence For Humans: Fundamental Algorithms

This book provides a gentle introduction to the basic concepts and algorithms of AI, including decision trees, neural networks, and genetic algorithms. It is suitable for readers with little or no background in programming or mathematics.

Author: Jeff Heaton

Price:  ₹2210 (Amazon price as of 2 November 2022)

2. Artificial Intelligence and Machine Learning

The main audience for this book is engineering undergraduate and graduate students. It uncovers the gap between the challenges of artificial intelligence and machine learning. 

All the topics are explained with the help of case studies and real examples.It also covers other learnings like supervised, unsupervised, artificial, and machine learning. Each topic is explained with well-written algorithms and pseudo-codes, making it one of the best books for beginners to learn AI.

Author: Vinod Chandra S. S.

Price:  ₹13246 (Amazon price as of 2 November 2022)

3. Machine Learning: The New AI

This book provides an overview of machine learning and describes the evolution of Ai, its important learning algorithms, and current applications. It explains how technology has advanced from number-crunching machines to mobile devices. 

This book tells how machine learning is used daily and has changed our lives. Any reader who has a computer engineering background will find this book very helpful.

Author: Ethem Alpaydin

Price:  ₹3327 (Amazon price as of 2 November 2022)

4. Artificial Intelligence: The Basics

This book gives a basic overview of different aspects of AI and various methods used to implement it. It tells about the history of AI, its present and future.

You can read this book quickly, and it explores the subject deeply and provides a detailed experience.

Author: Kevin Warwick

Price:  ₹2122 (Amazon price as of 2 November 2022)

5. Artificial Intelligence For Dummies (2nd Edition)

This non-technical book introduces you to the world of AI and shows how to differentiate between AI hype and reality, the working of algorithms, the role of data in AI, and practical examples of AI.

It also includes important topics such as the uses of AI, the difference between AI, machine learning and deep learning and many links to other learning resources.

Author: Luca Massaron, John Mueller

Price:  ₹2062 (Amazon price as of 2 November 2022

How Can I Learn Artificial Intelligence By Myself

Learning artificial intelligence (AI) on your own can be a challenging but rewarding experience. Here are some steps that you can take to learn AI by yourself:

  • Start with the basics: Begin by learning the fundamentals of mathematics, statistics, and programming. Understanding these concepts will help you grasp the underlying principles of AI and build a solid foundation for further learning.
  • Take online courses: There are many free online courses available that cover a range of topics related to AI, including machine learning, deep learning, and natural language processing. Some popular platforms for online learning include Coursera, Udacity, and edX.
  • Read books and research papers: Many excellent books on AI can provide a deeper understanding of the field. Some popular books on AI include “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig and “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
  • Practice with projects: Building AI projects is a great way to apply your knowledge and gain practical experience. There are many open-source projects available online that you can work on, such as building a chatbot or image recognition system.
  • Join online communities: Joining online communities such as forums, social media groups, and GitHub can help you connect with other learners and practitioners in the field. You can ask questions, share your work, and get feedback and advice from others.
  • Attend events and conferences: Attending AI events and conferences can provide a great opportunity to network with other learners and practitioners in the field, learn about the latest developments and trends, and attend workshops and talks by experts.
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What Is The Best Age To Learn Artificial intelligence?

There is no specific age to start learning artificial intelligence (AI). AI is a rapidly evolving field, and people of all ages and backgrounds can learn and benefit from it.

However, it is recommended that individuals interested in AI have a strong foundation in mathematics, statistics, and programming. Therefore, starting these subjects at a younger age is beneficial, such as during high school or earlier. 

Having a strong foundation in these subjects can make it easier to grasp the underlying principles of AI and pursue more advanced topics.

That being said, there is always time to start learning AI. Many individuals have successfully transitioned into AI careers later in life, often through online courses, boot camps, or graduate programs.

Is Artificial intelligence A Tough Subject?

Artificial intelligence (AI) can be challenging but not necessarily a “tough” subject. The difficulty level can depend on your experience and background in mathematics, statistics, and programming, as well as the specific subfield of AI you are studying.

Some aspects of AI, such as machine learning and deep learning, can be particularly challenging due to their reliance on advanced mathematical concepts such as linear algebra, calculus, and probability theory.

However, many resources are available to help learners overcome these challenges, including online courses, books, and tutorials. 

AI is a broad field encompassing many subfields and applications, including computer vision, natural language processing, robotics, and more. 

As a result, some aspects of AI may be more challenging than others, depending on your interests and goals.


We have discussed the Best Books on Artificial Intelligence. Artificial intelligence is rapidly evolving, and many excellent books are available that can help readers gain a deep understanding of AI’s underlying principles, techniques, and challenges. 

The books discussed cover various topics related to AI, including the potential risks and benefits of superintelligent AI, the challenge of ensuring that AI systems remain aligned with human values, and a comprehensive guide to the mathematical foundations of deep learning.


Does artificial intelligence require coding.

Yes, artificial intelligence (AI) generally requires coding skills. AI algorithms and models are typically implemented in programming languages such as Python, Java, or C++.

Which is better, CS or AI

Both Computer Science (CS) and Artificial Intelligence (AI) are important fields that have their unique areas of focus and career opportunities. The choice between the two depends on your interests, skills, and career goals.

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