Top 5 AI Books Available for Uncosted Reading Online: On Your Way from AI Novice to Expert!
Artificial Intelligence (AI) is a rapidly growing field, and understanding its core principles is becoming increasingly important. Here are some top free ebooks that provide comprehensive beginner coverage, ranging from theory and ethics to coding practicalities and real-world AI applications.
1. Understanding Artificial Intelligence by Henry Charles Mishkoff
This 258-page ebook, written by Henry Charles Mishkoff, explores the core principles of AI in a non-technical, jargon-free manner. It is suitable for a wide audience, including curious readers, students, and professionals. The book covers topics such as Making Computers More Useful by Making Them Smarter, Knowledge Representation, An Approach to Problem Solving, and more.
2. Artificial Intelligence – A Modern Approach (3rd Edition) by Stuart Russell & Peter Norvig
Often called the "bible of AI," this book covers fundamental AI concepts and techniques, including reasoning, knowledge representation, planning, learning, natural language processing, perception, and robotics. It provides a solid foundation with a blend of theory and real-world examples, suitable for readers from diverse backgrounds.
3. Machine Learning for Dummies by John Paul Mueller and Luca Massaron
This guide explains machine learning basics in simple terms and offers practical examples without requiring prior programming or data science knowledge. It focuses mainly on applying machine learning algorithms to solve real-world problems, making it ideal for beginners keen on practical understanding.
4. Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark
While broader in scope, this book introduces AI's future impact on humanity, ethical questions, and long-term societal implications. It is recommended for beginners interested in AI's societal and philosophical context rather than technical details.
5. Start Learning AI Today: A Beginner's Guide to Understanding and Using Artificial Intelligence (Kindle version offered free periodically)
This ebook provides an accessible introduction to AI fundamentals and practical insights, designed for absolute beginners. It is often available free as a Kindle ebook during promotions.
6. The Beginner's Guide to Artificial Intelligence AI by Frank Dartey Amankonah
This 58-page ebook provides a hands-on experience for beginners in AI, discussing various concepts and potential applications of AI, as well as the need for vigilance in its use.
7. Introduction to Artificial Intelligence by Marc Toussaint
This 248-page ebook covers both basic and advanced AI concepts in detail, including research design, probability theory, and decision-making processes.
8. Artificial Intelligence Programming with Python
This book focuses on artificial intelligence on the whole, machine learning, and deep learning. More details about this book, including its availability and length, are not provided.
9. Crash Course in Artificial Intelligence and Expert Systems by Louis E. Frenzel
This book includes topics like Expert Systems, Natural Language Processing, Amplifying Human Capabilities, Other Artificial Intelligence Applications, Symbolic Processing, Expert System Development Tools, LISP Machines, and Continuing Efforts in Artificial Intelligence. The book has 358 pages.
10. Artificial Intelligence Programming with Python by Perry Xiao
This book has 720 pages and covers topics such as 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, and Explainable AI.
These free or widely accessible resources provide comprehensive beginner coverage, ranging from theory and ethics to coding practicalities and real-world AI applications. Many of these ebooks can be read for free online, making it easy for anyone to start learning about AI.
- Exploring 'Artificial Intelligence Programming with Python', the book delves into artificial intelligence, machine learning, and deep learning, offering a comprehensive guide for beginners.
- In 'Artificial Intelligence – A Modern Approach (3rd Edition)' by Stuart Russell & Peter Norvig, readers can expect an extensive exploration of AI concepts and techniques, including machine learning and deep learning, within a theoretical and practical context.
