In 1956, computer scientist John McCarthy coined the term Artificial Intelligence (AI). Decades later, research, funding, and massive technological advancement have brought the reality of its potential to virtually every sphere of society.
But as an area of computer science, AI isn’t particularly an easy field for non-technical beginners. What with demands like having a grasp on maths, logic as well as a basic understanding of human intelligence? For those starting, it becomes a tricky endeavor. However, multiple experts in the industry have authored countless books on AI for beginners.
Here, we present a list of the 10 top Artificial Intelligence books for beginners. Check them out to get a hold of what AI is.
By Stuart Russell & Peter Norvig
Artificial Intelligence: A Modern Approach is widely regarded as the best book on artificial intelligence meant for beginners. Russell and Norvig have adopted an easy-to-follow learner’s approach to the textbook. It is a straightforward overview of AI, a good resource material for undergraduate students. Get the book and easily follow the concepts behind key areas like search algorithms, Natural Language Processing, and game theory.
If you want a simple but thorough introduction to AI, go for this book.
By Tom Taulli
You don’t need to have all the technical know-how to grasp the concepts explained in this book. As a resource targeted at beginners, Artificial Intelligence Basics presents a simple overview of aspects of AI like Deep Learning, Machine Learning, and Robotics among others. Use the text to understand how to research and technological advancement in AI has penetrated every aspect of modern-day living.
The author also highlights some of the areas readers might want to consider, including ethical and social issues presented by AI trends.
By John Paul Mueller and Luca Massaron
An absolute read for anyone looking to grasp machine learning, a concept that many find mind-boggling, to say the least. The authors have gone into the very basics of machine learning, a component of AI that makes it possible for concepts like fraud detection, credit scoring, and automation. This entry-level text on machine learning provides for a quick and straightforward appreciation of AI, computer programming, and Big Data.
This book is artificial intelligence for dummies and is the go-to guide if you want to dive into machine learning for the first time.
By Michael Taylor
As the author Michael Taylor says, this AI book is for beginners. It seeks to lay forth an easy and visual understanding of Neural Networks. The book provides an overview of what constitutes machine learning before taking the reader on a simple journey about neural networks. Read this engaging book to understand neural networks and how it connects to machine learning and Deep Learning.
This is a deeply intelligent book on AI and neural networks, a must-have for any beginner.
By David L. Poole and Alan K. Mackworth
This artificial intelligence book by two award-winning professors of Computer Science presents AI in a basic coherent and easy to grasp textbook structure. Poole and Mackworth bring out the concepts of intelligent computational agents and machine learning.
The book puts together a straightforward understanding of Artificial Intelligence. It is highlighting the AI theories and experiments makes it a great handbook for learners.
By Neil Wilkins
Published in 2019, this book has the most recent take on Artificial Intelligence. What’s more interesting is that the author has taken a rather difficult topic and repackaged it for beginners. Read this book to get an entry-level glimpse into AI, with the added advantage of accessing simplified computer simulations of the human brain.
This is a definitive beginner’s book, with an overview of concepts like machine learning, IoT, robotics, Deep Learning, and Neural Networks.
By Denis Rothman
The book to learn artificial intelligence is what the summary of this book can be. The author of this book on AI targets those just setting out to understand the concepts behind Artificial Intelligence. The book highlights simple real-life examples and scenarios in the application of AI, with added material to simplify how to apply Artificial Intelligence in emerging technologies like the Internet of Things (IoT) and blockchain.
As well as introducing you to neural networks, this book will help you build your own AI applications. Interesting if you want to learn and experience the beauty of artificial intelligence.
By Jeff Heaton
Jeff Heaton’s Artificial Intelligence for Humans is a book meant for beginners whose lack of advanced maths or programming makes AI a very complex topic. The book offers a basic overview of AI algorithms, with readers able to follow an easy layout that allows them to undertake complex tasks.
Learn about fundamental algorithms like linear regression, error calculation, clustering, and dimensionality, among others.
By Oliver Theobald
Artificial Intelligence and Machine Learning in plain English- is nothing but a great way to introduce a complex topic to beginners. Theobald uses simple everyday English to explain the key concepts in AI and ML, ensuring that technical jargon and doesn’t get in the way of a reader’s grasp of basic aspects of machine learning.
Learn about AI from scratch and explore the possibilities using provided visual examples.
By Nils J. Nilsson
Are you fascinated by how and when AI began? This book is for you. As a beginner, you’ll find Professor Nilsson’s book deeply engaging in AI and Machine Learning. The Quest for Artificial Intelligence outlines the history of AI in a simple yet resourceful style. Use the book to trace AI from those early days to what has become today’s revolution. Learn how the systems work via diagrams and see how AI has made it into modern-day technology like face recognition, speech recognition, and robotics.
By: Rahul Kumar, Ankit Dixit, Dennis Rothman, Amin Ziai, and Mathew Lamons
As the title suggests, this is a book that will guide any beginner as they seek to understand and master AI. Use the material to go beyond simple introductions to gaining a real-world understanding of the topic. Lecturers use this book to explore python and fields such as Deep Learning.
Other AI-related knowledge covered includes machine learning and data analytics all valuable to beginners who want resources that support real-world applications.
By: Deepak Khemani
There are numerous AI books for beginners, and this one by Deepak Khemani rightly ranks as one of the top 15 available in the market. The author has tried to ease learners into the topic by adopting a bottom-up approach.
As the topic of Artificial Intelligence can be complex to many, the dummy approach means you first encounter the most basic concept and progress as you grasp key ideas. The book offers one of the most fundamental introductions to AI, with every detail targeted towards mastery of concepts.
Learn about the use of algorithms and other science strategies in modern technology via this easy-to-follow book.
By: Ethem Alpaydin
If you are an absolute dummy, then this could be the book to enlighten you as you journey deep into AI. While most of the available resource materials offer a glimpse into the world of artificial intelligence, few want to ensure you remain human as you explore the field.
In Machine Learning: The New AI, learn how AI and machine learning apply in everyday life and see how the technologies are transforming every facet of society. Already, AI is helping in the digital revolution of the health insurance industry, and this book shows you how and where.
You don’t have to be a Computer Science wizard to use this top book on AI.
By: Andriy Burkov
If you are starting out with AI and especially Machine Learning, then Andriy Burkov’s “The Hundred-Page Machine Learning Book” could be what you need.
Highly regarded among the books on ML, Burkov’s introductory material takes you through the basics of machine learning as you launch into what makes the topic so crucial in modern technology.
Alongside the topic are great insights in and on AI, with the approach making grasp for such concepts as vector machines, random forests, and boosting as easy as possible. Also introduced is Deep Learning, a hot topic in modern tech fields. For beginners, AI and ML have never been so well-presented.
By: Kevin Warwick
This is one of the best artificial intelligence books for beginners. Warwick’s book introduces learners to AI with the most basic overview, taking them on a step-by-step appreciation of various aspects of the topic.
Use this book to learn the history behind AI, how it is being developed and used in today’s world as well as where the trend is headed with the massive leap in advancements.
You will be delving into the fundamentals of artificial intelligence and the related science of robotics. If you find a concept that you wish to explore further, go ahead and check out other books the author has reliably recommended for reading.
Are you looking for a book on AI? Check out this expertly written resource.
Artificial Intelligence is already playing a huge role in society, with AI systems at use in the health, manufacturing, and health sectors. It, therefore, follows that many businesses, tech giants, and governments are pouring funds into its research and development. And for those seeking to learn about AI and related fields of machine learning, deep learning, robotics, and so forth, books provide the avenue. The above are the TOP-10 artificial intelligence books for beginners: pick any and begin a journey of learning.