Artificial intelligence (AI) is a rapidly developing field that is poised to transform many sectors of society. AI has been referred to as the fourth industrial revolution and is predicted to impact every industry from manufacturing and agriculture to medicine, education, finance, and more. Many universities are offering courses on AI to prepare students for the future workforce, and there are countless resources available online to help further one’s knowledge of this new technology.
The following free AI books can be used to understand the fundamental concepts of artificial intelligence, machine learning and other related topics. Each book provides a foundation for the topic in an easy-to-understand manner that is perfect for beginners.
This book takes a unique approach to teaching the fundamentals of AI. It provides readers with a deep understanding of the AI process and how it works by presenting an extended AI programming project (the Automated Tourist Guide exercise) throughout its main chapters. It also teaches advanced Common Lisp techniques in the context of building major AI systems.
AI is a complex subject, and it can be difficult to find resources that explain its fundamental concepts in an accessible way. This book is a step-by-step guide to the mathematics of neural networks, allowing readers to build their understanding of how these models work in real-world applications. It is written in a concise and accessible style that can be read by people with little or no background in AI, and it is updated on a regular basis to reflect the latest developments in this area.
One of the best AI books for beginners, this resource covers all of the essentials of machine learning, including algorithms and pseudo-code. It teaches its readers how to structure their own machine learning projects and to analyze the results of those projects. It also includes tips on how to troubleshoot and diagnose problems with a machine learning system.
This free book explores the fundamentals of AI through a series of case studies, focusing on how different industries use this technology to solve business challenges. It also discusses how AI can be leveraged as a tool for innovation.
The debate on whether AI is good or bad continues to rage, and this book seeks to provide a balanced argument for both sides. It presents the technical challenges of designing ethical AI and makes a strong case for various strategies for addressing these issues. The author’s arguments are presented in an easy-to-understand manner, but mathematical explanations are included for those who want them. This book is a must-read for anyone interested in learning more about the implications of AI on our world. It is well-written and thought-provoking, and it will be of interest to both students and professionals who are interested in the field.
