Even with a personal assistant in every hand today, there is one information pass-on mechanism that hasn’t lost its value. Books! Ask anyone worthwhile, an expert in his field, or someone who has generally made it big in life, and they will tell you that books are still the most valuable format of information. “Read books,” then, becomes less of a generic advice and more like a principle for success. For our AI-enthusiastic friends, this is equally true. To help you all out, here we have compiled a list of free books on AI (Artificial Intelligence) which you can get off the internet and start reading right away.

So, without further ado, here is your list of top free ebooks on AI, sorted from shortest to longest.

Note: You can also read our article on Top 6 Books on RAG here.

Table of contents

• The Beginner’s Guide to Artificial Intelligence AI
• Introduction to Artificial Intelligence by Marc Toussaint
• Understanding Artificial Intelligence
• Crash Course in Artificial Intelligence and Expert Systems
• Artificial Intelligence Programming with Python
• Conclusion
• Frequently Asked Questions

1. The Beginner’s Guide to Artificial Intelligence AI

Author: Frank Dartey Amankonah
Length: 58 Pages

Just as the title mentions, this ebook by Amankonah is meant to help any beginner get a hands-on experience with AI and its applications across fields. While explaining numerous concepts hidden within the AI realm, Amankonah explores the potential for the new-age technology to change the world as we see it. In parallel, he also warns of the potential downside of it and the dire need to stay vigilant with the use of AI and how much we trust it in today’s world.

How to read: You can visit free-ebooks.net to read the free ebook or simply click here. Note that the platform allows you to read 1 free ebook per month. So, choose wisely in case you don’t intend to get a subscription.

Key Topics Included:

• Introduction to Artificial Intelligence
• Types of Artificial Intelligence
• Applications of AI
• Machine Learning
• Deep Learning
• Ethics in Artificial Intelligence
• Future of Artificial Intelligence

2. Introduction to Artificial Intelligence by Marc Toussaint

Author: Dr Marc Toussaint
Length: 248 Pages

Yet another must-read for those attempting to learn AI from scratch. Dr Toussaint’s work covers both basic and advanced AI concepts in detail. Technical concepts like research design, probability theory, and the multi-armed robber problem are well captured in an easy-to-grasp format, perfect for understanding decision-making processes and other complex AI structures.

The book is a reformatted version of all lecture slides and exercises from the Artificial Intelligence course at the University of Stuttgart. So, as you read through, you will instantly understand that the entire ebook originates with one purpose – to teach AI concepts. Ideal for those wishing to understand more about it.

How to read: You can read the free book on AI here.

Key Topics Included:

• Search and Problem Solving
• Probabilities and Uncertainty
• Decision Making and Planning
• Reinforcement Learning
• Graphical and Dynamic Models
• Logic and Knowledge Representation
• Machine Learning and Neural Networks
• Explainable AI

3. Understanding Artificial Intelligence

Author: Henry Charles Mishkoff
Length: 258 Pages

A cult classic in the world of artificial intelligence, this book is a refreshing step back from the explosion of AI we see all around today. Instead, it attempts to understand the core principles of AI by asking the most intuitive questions possible. What is artificial intelligence? Can it really imitate or even surpass human intelligence? How does it work, and where is it taking us? are just some of the insights shared in this book.

The best part about this book is that Mishkoff shares concepts here, led by AI experts like Edward A. Feigenbaum and Bruce G. Buchanan, in a completely non-technical, jargon-free manner. This instantly makes the book ideal and relatable to a majority of the audience. Be it a curious reader, a student, or a professional looking to further their career, this book serves all.

How to read: You can read the free ebook here. Note, you will have to sign up/ log in to read the book.

Key Topics Included:

• What is Artificial Intelligence?
• The History of Artificial Intelligence
• Expert Systems
• Natural Language Processing
• Amplifying Human Capabilities
• Other Artificial Intelligence Applications
• Symbolic Processing
• Expert System Development Tools
• LISP Machines
• Continuing Efforts in Artificial Intelligence

4. Crash Course in Artificial Intelligence and Expert Systems

Author: Louis E. Frenzel
Pages: 358

Among a lot of AI books ever written, this one by Frenzel stands out for its own good reasons. While most others are for students of the field and are meant to complement classroom learning and lectures, others are way too dumbed down, skipping past important nuances on the subject. Frenzel’s work stood out as a classic over the decades simply for hitting just the sweet spot in the middle.

In a highly structured format, the book walks you through an overview of AI and its unique computer techniques. These include search methods and knowledge representation schemes. Once the basics are clear, it delves deep into more technical stuff, like expert systems, natural language processing, and much more. This is a must-read for anyone wanting to have both a surface-level and a deeper understanding of AI and its workings.

How to read: Read the full book on AI for free here. Sign up/ log in required.

Key Topics Included:

• Making Computers More Useful by Making Them Smarter
• Knowledge Representation
• An Approach to Problem Solving
• Introduction to Expert Systems
• Developing an Expert System
• Natural Language Processing and Voice Recognition
• Computer Vision
• Robotics and AI
• AI Programming in LISP
• Prolog and Other AI Languages
• AI Hardware and the Future of AI

5. Artificial Intelligence Programming with Python

Author: Perry Xiao
Length: 720 Pages

The only reason this book is listed so far down this list is the fact that you can only access it for free for 10 days. This highly revered work by veteran educator and photophysicist Dr. Perry Xiao is a “hands-on roadmap to using Python for artificial intelligence programming.” In a very practical (using code) and simple-to-grasp manner, the book teaches you the fundamentals of AI from scratch.

Xiao’s book basically covers three important parts of the world of AI. These are – artificial intelligence on the whole, machine learning, and deep learning. More technical concepts covered within include MATLAB, Python, supervised and unsupervised machine learning, Python “cheat sheet” quick references, and much more. If you are seeking to learn AI through Python, make sure you give this a read at the earliest.

How to read: You can sign up and read the AI book for free here, but only for a limited time of 10 days.

Key Topics Included:

• Introduction to AI
• AI Development Tools
• Machine Learning
• Deep Learning
• Image Classification
• Face Detection and Face Recognition
• Object Detection and Image Segmentation
• Pose Detection
• GAN and Neural-Style Transfer
• Natural Language Processing
• Data Analysis
• Advanced AI Computing

Conclusion

These free AI books will be of immense help to anyone attempting to understand this transformative technology. Whether a beginner or an experienced professional, each title offers unique insights and practical knowledge. So make sure to give these a read and guide your journey into the world of artificial intelligence in the best way possible.

Frequently Asked Questions

A. Though most of the books above attempt to explain artificial intelligence from scratch, we would recommend beginners to read “The Beginner’s Guide to Artificial Intelligence AI” and “Understanding Artificial Intelligence.”

A. “Introduction to Artificial Intelligence by Marc Toussaint” and “Crash Course in Artificial Intelligence and Expert Systems” offer a good mix of basic and advanced concepts for intermediate learners.

A. “Artificial Intelligence Programming with Python” is the ideal book for advanced learners, with highly technical, hands-on coding in Python and MATLAB.

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