10 Best Artificial Intelligence Books You Must Read
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10 Best Artificial Intelligence Books You Must Read

Artificial Intelligence (AI) is no longer just a figment of our imagination. With the rapid advancements in technology, AI has become a reality that is set to revolutionize the world as we know it. From autonomous vehicles to personal assistants like Siri and Alexa, AI is everywhere. To truly understand AI and its potential impact on our future, we need to deep into the world of AI literature. In this article, we will take a closer look at some of the best books on AI that offer valuable insights into this rapidly evolving field.

  1. “Artificial Intelligence: A Modern Approach

This book by Stuart Russell and Peter Norvig is widely considered one of the most comprehensive books on the topic. It’s an excellent choice for both undergraduate and graduate students looking to delve deeper into the subject matter. The book covers a range of topics, from machine learning to natural language processing, robotics, and perception.

  1. “Machine Learning for Dummies”

John Paul Mueller and Luca Massaron is a fantastic introduction to machine learning. It provides an accessible overview of the concepts and tools used in this field, making it a great option for beginners. The book includes practical examples like credit card fraud detection and web search results, which help illustrate key concepts.

Read Also: Machine Learning: A Beginner’s Guide

  1. “Artificial Intelligence and Machine Learning: A No-Nonsense Guide to Data-Driven Technologies”

Written by Steven Finlay, this is a business-oriented book that focuses on real-world applications of AI. It covers theoretical concepts as well as practical techniques, making it an ideal choice for anyone looking to get started with machine learning. The author also discusses how AI tools can be used to reduce costs and improve customer engagement.

  1. “Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies”

A book written by John D. Kelleher, Brian Mac Namee, and Aoife D’Arcy, this is an advanced text that’s suitable for beginners with some programming and statistics experience. The book includes plenty of examples and case studies that help readers understand how the techniques work in real-world applications.

  1. The Hundred-Page Machine Learning Book

Peter Norvig, one of the top experts in the field of artificial intelligence, has endorsed “The Hundred-Page Machine Learning Book.” This short but informative book is an excellent introduction to machine learning, covering all the essential topics in approximately 100 pages. Additionally, an online companion book wiki is available, providing many extra resources.

  1. Artificial Intelligence for Humans

“Artificial Intelligence for Humans” is the first book in a trilogy that covers the fundamentals of artificial intelligence. You will learn about key concepts such as dimensionality, distance metrics, clustering, error calculation, hill climbing, Nelder Mead, and linear regression. The book also includes exercises to test your understanding of the concepts and put them into practice. Note that basic college algebra or computer programming knowledge is required before reading this book.

Read Also: 19 Helpful Uses of AI at Home

  1. Machine Learning for Absolute Beginners

If you’re new to the field of machine learning, “Machine Learning for Absolute Beginners” is an excellent starting point. This book is aimed at those without formal education in data science or machine learning and explains how to use data science and Python to solve real-world problems. Although it’s not as well-known as other books on this list, it’s still a highly effective resource for beginners.

  1. Artificial Intelligence: The Basics

In “Artificial Intelligence: The Basics,” English engineer Kevin Warwick provides a comprehensive overview of the field of artificial intelligence. This book delves into the meaning of being human and how it relates to being a machine. As such, it’s more focused on robotics and cybernetics advancements than on machine learning. The book explores fascinating questions like whether machines can think and be conscious.

  1. Applied Artificial Intelligence: A Handbook for Business Leaders

Mariya Yao, Adelyn Zhou, and Marlene Jia turn their attention to business leaders with “Applied Artificial Intelligence: A Handbook for Business Leaders.” This book was named the CES 2018 Top Technology Book of the Year and is an excellent resource for anyone looking to implement AI in their business. It covers how to calculate risk and ROI, how to break down silos and increase collaboration, and how to monitor your AI deployments.

  1. Life 3.0

“Life 3.0” by Max Tegmark is a more philosophical exploration of AI. It examines where we are now and how we got here, and explores the many possibilities that lie ahead for humanity. This book covers topics such as AI in war, crime, and ethics and challenges readers to think more deeply about the field. Although it may be too scientific for some readers, those who enjoy pondering the implications of AI will find it thought-provoking.


The world of AI is rapidly evolving, and keeping up with the latest developments can be a challenge. The books on this list offer valuable insights into the many facets of AI and its impact on society. Whether you are interested in the technical aspects of AI or its potential impact on humanity, there is a book on this list that will offer valuable insights. By reading these books, you can gain a deeper understanding of AI and its potential to shape our future.

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Mark Borg
Mark is specialising in robotics engineering. With a background in both engineering and AI, he is driven to create cutting-edge technology. In his free time, he enjoys playing chess and practicing his strategy.

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