10 Best Artificial Intelligence Books

Artificial intelligence has become one of the most popular terms for anyone interested in technology. Innovative developments in the form of examples such as Alexa and Siri showcase how computers can replicate human thinking. However, artificial intelligence is still an elusive concept for many people who struggle to decipher its meaning and importance. The best artificial intelligence books can help you move past your apprehensions about AI. In addition, they can support your efforts to develop your career in AI.

Interestingly, big technology companies use around 200,000 books to train artificial intelligence systems. The books provide guidance to generative AI models on how they should communicate information. Do you notice the interesting equation here? People want books to learn about AI, and AI models need books written by humans to improve their contextual understanding. Let us find the most promising books on AI that you must have right now.

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Top Books on Artificial Intelligence 

Artificial intelligence is a revolutionary branch of computer science. It has envisioned a world where machines can act, make decisions, think, and respond like humans. The top books on AI are the most valuable resources for any beginner. They can help beginners find their way through the complex mazes of artificial intelligence.

Since the introduction of ChatGPT, almost everyone has an opinion on AI and its utility. However, it is important to differentiate fact from fiction and delusions when you are learning about new technologies like AI. Here is an outline of the top ten books on artificial intelligence that you must have on your tables.

1. Artificial Intelligence- A Modern Approach 

The first book in this list is “Artificial Intelligence- A Modern Approach” by Stuart J. Russell and Peter Norvig. One of the notable highlights of the book is the way in which it covers all the major developments in the domain of artificial intelligence. It is one of the good books on AI that sheds light on different AI applications.

Some of the notable AI applications covered in the book include practical speech recognition, home robotics, machine translation, and autonomous vehicles. The book also covers the different milestones in the field of algorithm development. On top of that, the book also covers theoretical research efforts in the domain of computer vision, probabilistic reasoning, and machine learning. 

2. Machine Learning for Beginners

Machine Learning for Beginners by Chris Sebastian is also a valuable resource for gaining knowledge on artificial intelligence. The author establishes that the foundations of machine learning emerged from the love of humans for reinforcement learning. 

It can be one of the most popular AI books for beginners and serves promising insights for beginners interested in learning about AI, ML, swarm intelligence, and computer science. The book will also help you understand the importance of large datasets in machine learning. On top of it, the book also offers valuable information that can support the development of advanced algorithms.

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

The next addition to your artificial intelligence book list by Stuart Russell is a must-have for every AI enthusiast. As a popular AI researcher, the author has dived deeper into the consequences of superhuman intelligence. The concerns around superhuman artificial intelligence point to the inevitable nature of human-machine conflicts.

Stuart Russell argues that it would not be a problem only if we learn how to avoid it by reimagining AI applications. The author begins by diving into the concept of intelligence for machines and humans. In addition, he also emphasizes the short-term benefits that we must achieve before reaching the stage of superhuman AI. At the same time, the book also reflects on the different ways in which people have been exploiting AI.

4. Life 3.0 Being Human in the Age of Artificial Intelligence 

One of the interesting choices among books on artificial intelligence, Life 3.0 by Max Tegmark, presents a unique perspective on AI. The radical changes induced by AI in the domain of crime, society, law, and work have been shifting science fiction toward reality. Anyone wondering about answers to “What is the best book for AI?” can begin with Life 3.0 to understand how AI can revolutionize the future of the world.

The book revolves primarily around the thought process required to use AI to fuel human evolution. On top of it, the book also reflects on techniques that can help you extract profits from automation without displacing people from jobs. The book further explores the possibilities for achieving excellence in life without being outsmarted by AI alongside ensuring safety of future AI systems.

5. Artificial Intelligence for Humans

The search for best artificial intelligence books will also lead you to choices like Artificial Intelligence for Humans by Jeff Heaton. Volume 1 of the book helps learners overcome the initial barriers to learning about AI. For example, you don’t need a basic understanding of AI and algorithms for learning AI.

The book will help you develop an in-depth understanding of basic AI algorithms used for machine learning. In the first volume, you can discover insights into different variants of machine learning in context of different computer networks. The author also provides a description of all essential techniques, including clustering and regression, required for development and training of large language models.

6. The Society of Mind 

The Society of Mind by Marvin Minsky is another notable addition to the top books on AI that you must read now. It is a powerful resource for investigating more about the human mind through essays that reflect on new ideas. Furthermore, the book also offers in-depth coverage of concepts related to computer vision, prediction machines, commonsense reasoning, ML networks, and robotic manipulation.

The Society of Mind is a valuable addition to this list because of topics on development of systems with hierarchical and modular structures. The book can encourage readers to develop AI systems with structures similar to the diverse functions of human mind in modern society.

7. Deep Learning 

Deep Learning by Ian Goodfellow, Aaron Courville, and Yoshua Bengio is also a promising entry in this artificial intelligence book list because of its content. The book is an ideal pick for undergraduate and graduate students aspiring for a career in machine learning. It is a legitimate resource that can help students learn complex concepts related to deep learning.

For example, the book dives into topics like linear algebra, machine learning, probability theory, information theory, and numerical computation. The book also sheds light on the use of deep learning concepts such as convolutional networks, deep feedforward networks, optimization, sequence modeling, and regularization.

8. Neural Networks and Deep Learning 

Neural Networks and Deep Learning by Charu C. Aggarwal is one of the recent additions to most popular AI books for all learners. The book follows a modern approach to deep learning while covering the classical models. The author has established that the blueprint and theory of neural networks are important requirements to understand complex concepts, such as neural architectures and predictive analysis.

In addition, the book also helps in learning the best practices for creation of neural architectures for solving different problems. The author of the book also dives into topics like pre-trained language models and transformer architectures.

9. Artificial Intelligence by Example 

Artificial Intelligence by Example by Denis Rothman is one of the good books on AI that helps you develop expertise in implementing AI for real-world scenarios. The book can help you find out how you can deal with machines by learning about interesting AI applications such as cognitive chatbots.

On top of it, the book also helps you familiarize yourself with the most advanced machine learning models and best practices for application of AI to IoT and blockchain. The best thing about the book is that it does not push you to learn sophisticated approaches and architectures. On the contrary, you can start developing AI solutions directly with examples. After completing the book, you would have in-depth fluency in the foundations of AI alongside different case studies of AI implementation.

10. Artificial Intelligence Engines

Artificial Intelligence Engines by James V Stone is the final addition to this list of popular books on artificial intelligence. People who need answers to the question “What is the best book for AI?” must use this book as an introduction to important neural network learning algorithms.

The book also discusses conventional neural networks and deep neural networks that are currently used in different applications. Most importantly, the book also provides access to online computer programs that improve hands-on experience with neural networks. The book serves as the perfect introduction to algorithmic engines driving modern AI systems. 

Final Words       

The outline of the most popular AI books shows some of the best options that you must read to specialize in AI. You can notice that the list includes books for beginners as well as valuable choices for experts. However, you can also explore many other books on AI for a better understanding of artificial intelligence. On top of it, you must also rely on professional training to complement your lessons from the books. Find the best training courses on artificial intelligence for your career right now.