Top 12 Artificial Intellegence Books To Read In 2024

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Updated: April 26th, 2022

Top 12 Artificial Intellegence Books To Read In 2024

The artificial intelligence market has witnessed a continuous transformation over the past decade.

According to the IDC report, global revenues for the artificial intelligence market, including software, hardware, and services, are forecast to grow 19.6% YoY in 2022 to $432.8 billion and reach $500 billion mark in 2023.

Based on the recent events and reports within the technology industry, AI has emerged as the next significant wave of innovation.

Modern-day innovative solutions within the AI sector focus on solving business process problems. They range from human augmentation, process improvement, planning, and forecasting, to empowering superior decisions and outcomes.

Since AI remains a crucial driver of IT investment, business executives must remain informed to ensure sustainable adoption of AI-enabled technologies.

If you plan to learn more about artificial intelligence, keep track of AI trends, or understand how artificial intelligence works, these books provide an excellent place to start.

1. Genius Makers

Written by: Cade Metz
Page count: 384
Buy it here: Amazon
Why readers love it: Genius Makers gives a clear account of the history of AI as a field and how the technology leaders have turned artificial intelligence from a niche technology to a transformative reality.

The book explains artificial intelligence from a human-friendly perspective. Readers will gain insights into how AI has gained traction among the big tech companies and become a way of life.

Read this book ➜

2. Artificial Intelligence: A Guide for Thinking Humans

Written by: Melanie Mitchell
Page count: 448
Buy it here: Amazon
Why readers love it: In this book, the author goes beyond the hype that the field of A.I. is often prone to and describes in detail what it does well, where it crashes, and how it might get better.

The book features examples of AI systems like Watson, that have been trained to master specific tasks, and points out that such computers may lack the general intelligence that humans have. The author argues that to achieve superintelligence, AI systems will need to acquire commonsense reasoning abilities.

Read this book ➜

3. Introduction to Artificial Intelligence

Written by: Philip C. Jackson Jr.
Page count: 512
Buy it here: Amazon
Why readers love it: Philip C. Jackson Jr. presents an introduction to the science of reasoning, processes in computers, and the research approaches, and covers the results of the past two decades.

Introduction to Artificial Intelligence is an easy-to-read book featuring various problem-solving approaches. The book also covers the application of AI in game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis, and specific artificial intelligence accomplishments.

Read this book ➜

4. Artificial Intelligence: A Modern Approach

Written by: Stuart Russell and Peter Norvig
Page count: 1136
Buy it here: Amazon
Why readers love it: Covers the most comprehensive and updated introduction to the theory and practice of artificial intelligence.

The author covers the full breadth of artificial intelligence and offers readers a new and expanded coverage of various disciplines that contribute to the wider artificial intelligence.

Read this book ➜

5. Machine Learning

Written by: Tom M. Mitchell
Page count: 414
Buy it here: Amazon
Why readers love it: The book covers the field of machine learning comprehensively and also offers an introduction to all types of machine learning algorithms.

Intended to support undergraduate and introductory level learners, the book covers the basis of artificial intelligence in easy to understanding terminologies. The author explores the various models and techniques and exposes learners to solid math and statistical information, explaining how they apply in the decision tree.

Read this book ➜

6. The AI Marketing Canvas

Written by: Jim Lecinski and Raj Venkatesan
Page count: 272
Buy it here: Amazon
Why readers love it: The AI Marketing Canvas answers most of your questions regarding AI.

It covers the strategic marketing that drives growth that uses AI and machine learning. Therefore, the book is ideal for every marketer wanting to grasp the modern tools in marketing.

Read this book ➜

7. The Master Algorithm

Written by: Pedro Domingos
Page count: 352
Buy it here: Amazon
Why readers love it: The author presents to the readers a blueprint for the future universal learner and discusses what it will mean for businesses, scientists, and society.

Recommended by Bill Gates, The Master Algorithm is one of the best AI books to read in 2022. The non-fictional book features thought-provoking concepts about machine learning.

Read this book ➜

8. Introduction to Artificial Intelligence

Written by: Johnny Terry
Page count: 190
Buy it here: Amazon
Why readers love it: Johnny Terry presents the Artificial Intelligence concepts in an easy-to-understand language.

He explains how artificial intelligence will impact our lives in the future, and compares the transformation to that experience during the industrial revolution and during the birth of the web. The author introduces the notion of super-intelligent machines capable of learning and improving on their own, and that they will be able to produce an enormous amount of wealth in the coming years.

Read this book ➜

9. Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World

Written by: Mo Gawdat
Page count: 338
Buy it here: Amazon
Why readers love it: The book explains how technology is putting our humanity at risk to an unprecedented degree and also shows its readers both sides of technological developments.

In the book, Mo Gawdat argues that humans are capable of designing the algorithms that define how AI works. He continues to explain that AI will process information at lightning speed and remain focused on particular tasks without getting distractions.

Read this book ➜

10. AI 2041: Ten Visions for Our Future

Written by: Chen Qiufan and Kai-Fu Lee
Page count: 480
Buy it here: Amazon
Why readers love it: The author explains how AI will change the world within the next decades.

AI 2041 has been listed as ' best book of the year' by Wall StreetJournal, Washington Post, and Financial Times. In his book, he explains that AI will generate unprecedented wealth, revolutionalize medicine and education through human-machine symbiosis and create a brand new form of communication and entertainment.

Read this book ➜

11. The Age of AI: And Our Human Future

Written by: Henry A Kissinger, Eric Schmidt, and Daniel Huttenlocher
Page count: 272
Buy it here: Amazon
Why readers love it: Three most accomplished personalities & deep thinkers have come together to explore artificial intelligence and the way it is transforming human society.

The authors cover topics like AI-powered achievements such as how AI discovered a new antibiotic by analyzing molecular properties. The three leading thinkers also consider how AI will change relationships with knowledge, politics, and the societies in which we live.

Read this book ➜

12. Competing in the Age of AI

Written by: Marco Iansiti
Page count: 288
Buy it here: Amazon
Why readers love it: Tagged by the New York Times as “the provocative new book”, Competing In the Age of AI presents leaders with a framework for rethinking business and operating models.

In the book, the author covers how the “collisions” between AI-driven or digital and traditional or analog firms are reshaping competition in order to survive. The book describes the new challenges and the responsibilities of the leaders of both digital and traditional firms.

Read this book ➜

Conclusion

Artificial intelligence has become a major topic of discussion everywhere you go these days. The field is impacting our lives and the world around us. This is a perfect time for to understand AI in order to take advantage of new technologies and enhance competition strategies.

meet the author

Samantha Walls

I'm Sam Walls, COO of Starter Story - a platform and community for entrepreneurs and future founders to learn what it takes to build a great business. I joined the Starter Story team approximately 3 years ago, with the goal of providing our readers with the best, most valuable, and inspirational content on the internet.

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