Artificial intelligence is an incredible technology that accomplishes several human tasks much faster and more efficiently. With more processing power, AI offers several benefits that make it an excellent tool for modern organizations. The innovations of AI-based technologies are applied universally to deliver healthcare-related services, manufacturing processes, banking, and financial services, life sciences, and more. Given the efficiency of artificial technology, many newcomers and existing companies are shifting their focus to incorporating AI in their operations. To keep up with the trends, professionals seek to know more about the technologies by referring to several artificial intelligence books. This blog will provide a list of some worthy AI books. But, let’s first learn what artificial intelligence is.
What is AI?
Artificial intelligence is the simulation of human intelligence with computers. It is a technology that enables machines, especially computers, to perform human tasks. AI requires a strong foundation of structured hardware and software for building and training algorithms using R, Python, and more. AI systems ingest vast amounts of data for training, analyzing this data to find patterns and, ultimately, using the patterns to predict results and future states. Learning more about artificial intelligence can be challenging if you do not have the correct reference or guidance. Several books talk about AI, but which one is right for you? Have a look at this list of best AI books.
List of top Artificial Intelligence Books
We have divided the list into two parts: one enlists the best artificial intelligence books for beginners, and the other is for people with some experience and ideas about AI.
Best artificial intelligence books for beginners
- Architects of Intelligence: The truth about AI from the people building it
Written by Martin Ford, this AI book collects in-depth, one-on-one interviews with some bright minds in the AI community. Ford is a New York Times bestselling author and futurist who speaks at conferences and interviews experts to know more about the future of AI and automation. In this book, he talks about his conversations with 23 researchers and entrepreneurs working on robots and artificial intelligence. Yann LeCun (Facebook), Andrew Ng (AI Fund), and Stuart Russell (UC Berkeley) are a few among 20 others who spoke the ‘truth about AI’ in this AI book. It is a digression from usual AI books about AI projects and technical details.
Link for the book – Architects of Intelligence: The truth about AI from the people building it
- Artificial Intelligence Basics: A Non-technical Introduction
The most efficient way to understand artificial intelligence is to start with the basics. You will find several artificial intelligence books that discuss AI for beginners. Still, this book, ‘Artificial Intelligence Basics: A Non-Technical Introduction’ by Tom Taulli, teaches you how to implement AI in your organization. It also teaches you how to strategize, set realistic goals, and deal with inherent risks like biases, employee resistance, and data quality. The book will introduce you to several concepts like machine learning, natural language processing, deep learning, and many more. The AI book is indispensable for giving you a headstart in artificial intelligence.
Link to the book – Artificial Intelligence Basics: A non-technical introduction
- Artificial Intelligence: A Modern Approach by Peter Norvig and Stuart Russel
Once you have a basic understanding of the subfields of AI, it is logical to proceed and learn the ‘common framework’ of how it works. AI is a big field, and so is this AI textbook. The new edition focuses on a modern approach that cultivates an idea of an ‘intelligent agent,’ and AI is the study of such agents that perceive the environment and perform accordingly. Intended for undergraduates, it is one of the best books for AI that will enable you to understand the logic, probability, and continuous mathematics that form the foundation of AI systems.
Link to the book – Artificial Intelligence
- Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-Learn, and TensorFlow – 3rd Edition
Artificial intelligence works by training specific algorithms to perform human tasks. If you wish to learn Python for artificial intelligence, it is one of the best books on artificial intelligence. Written by Sebastian Raschka, this will help you understand artificial intelligence conversationally. The 3rd edition is a step-by-step guide to help you build your ML systems and has been updated to include TensorFlow 2.0, new Keras API features, and the latest additions to Scikit-Learn. Compared to the previous edition, it has been expanded to cover reinforcement learning and sentiment analysis, a sub-field of natural language processing.
Link to the book – Python Machine Learning
- Artificial Intelligence Engines: a Tutorial Introduction to the Mathematics of Deep Learning
Deep learning is a part of artificial intelligence based on artificial neural networks, and this domain enables computers to undertake classification tasks directly from texts, images, or sounds. Studying deep learning can be challenging as it involves leveraging data analytics to work faster than human minds. But Artificial Intelligence Engines: a tutorial introduction to the mathematics of deep learning is an ideal AI book for beginners. The book explains neural networks informally at first, followed by extensive mathematical analyses, and has been written informally so that readers do not have a hard time comprehending the concepts.
Link to the book – Artificial Intelligence Engines: a tutorial introduction to the mathematics of deep learning
Read More: Top Machine Learning Books
Some other books on Artificial Intelligence
- Life 3.0: Being a Human in the Age of Artificial Intelligence
Written by Max Tegmark, it is one of those books about AI that posit a hypothetical scenario wherein artificial intelligence has exceeded human intelligence and has overtaken society. While other AI textbooks talk about the benefits one can reap with artificial intelligence, ‘Life 3.0’ talks about how the technology might be able to redesign itself someday. The first few chapters talk about the origin of intelligence millions of years ago and project future developments. It discusses the issues and describes several potential outcomes that could be achieved by integrating humans and machines. Both positive and negative scenarios have been portrayed in terms of Friendly AI or an AI Apocalypse. This book will give you a different perspective on how AI impacts your life.
Link for the book – Life 3.0: Being a human in the age of artificial intelligence
- Applied Artificial intelligence: A handbook for Business Leaders
Many enterprises are leveraging artificial intelligence in their operations. Suppose you are a business owner looking for a practical guide to leverage machine learning techniques in your organization. In that case, Applied Artificial Intelligence is one of the best books on artificial intelligence. This book balances technical details and general content about the impact of artificial intelligence and machine learning technology. The first part of this book talks about the educational background of the state of artificial intelligence today. The second part will walk you through some strategic and methodological steps to implement AI projects. The last section discusses real-world examples of AI applications commonly used for standard business functions.
Link for the book – Applied Artificial intelligence: A handbook for Business Leaders
- TensorFlow in 1 Day: Make your own Neural Network
If you are a machine learning enthusiast, TensorFlow in 1 Day: Make your own Neural Network is a great machine learning book for beginners. This book will guide you to build your neural network, a framework that works like the human brain. Written by Krishna Rungta, it aims to educate readers about TensorFlow, an open-source library for deep learning and traditional machine learning applications. The initial chapters discuss deep learning, TensorFlow, and other requisite frameworks. The chapters discuss all the essential packages you will need to build a recurrent neural network (RNN).
Link for the book – TensorFlow in 1 Day: Make your own Neural Network
- The Emotion Machine: Commonsense Thinking, AI, and the Future of the Human Mind
The Emotion Machine is a brilliant AI textbook that explains thinking and the human mind by relating it to insightful technologies. Inspired by how human minds always work, Marvin Minsky created this book on artificial intelligence, thinking, and other related areas. Minsky is a computer science and AI expert who developed the book based on intuitions and feelings as forms of ‘thinking.’ The book explains how human minds think and process complex information. Once you understand the thinking process, you can build artificial bits of intelligence and machines to assist you in thinking and making better decisions after following the same patterns.
Link to the book – The Emotion Machine: Commonsense Thinking, AI, and the Future of the Human Mind
- Human + Machine: Reimagining Work in the Age of AI
This AI book by Paul Daugherty and H. James Wilson highlights that artificial intelligence is no longer a futuristic concept and is gaining momentum. In Human + Machine, you will read about the paradigm shift of revolutionizing businesses with AI and making them more fluid and adaptive. If you look forward to incorporating technologies in your workplace, reading this book will convince you that AI transforms businesses into hybrid technological organizations that leverage technology to ensure real-time service provision and management.
Link to the book – Human + Machine: Reimagining Work in the Age of AI