A Tutorial on the Mathematics of Deep Learning for AI Engines 1
Statistical analysis and mathematical modelling are the bedrock of AI. If you want to learn about the logic and mathematics of AI, this book is ideal. This book, authored by James V. Stone, provides comprehensive coverage on neural networks. Each strategy for learning a neural network is presented informally with accompanying diagrams, and a step-by-step explanation is provided in pseudocode to help readers fully grasp the concepts presented.
#2| The Foundations of AI: A Layman’s Overview
Tom Taulli’s book, Artificial Intelligence Basics: A Non-Technical Introduction, is a great resource for anyone interested in learning more about AI and the ways in which it is already changing the world. This book provides a fascinating, accessible introduction to cutting-edge topics like machine learning, deep learning, NLP, robots, and more. This book will help you comprehend artificial intelligence (AI) techniques including deep learning, NLP (Natural Language Processing), chatbots, and Robotic Process Automation (RPA), among others, through real-world case studies and practical implementation processes.
Part Three: The State of the Art in Artificial Intelligence (3rd Edition)
This book’s third edition reflects developments in the field of artificial intelligence (AI) since its previous publication in 2003. This book by Stuart J. Russell and Peter Norvig will teach you the fundamentals of artificial intelligence and its many practical applications, such as speech recognition, machine translation, autonomous vehicles, and home robotics.
4. A Guide to AI for the Layperson
This book, co-authored by Luca Massaron and John Paul Mueller, serves as a primer on AI for those unfamiliar with the topic. This book explains the basics of AI and dispels some of the more widespread myths surrounding the field. In addition, you will learn about AI’s limitations and potential applications in various fields of computer science.
No. 5| AI That Benefits Humans
This book is written by AI expert Jeff Heaton and covers fundamental topics like dimensionality, distance metrics, clustering, error computation, hill climbing, Nelder Mead, and linear regression. As such, the reader should be comfortable with fundamental college algebra, mathematics, and computer programming languages like Python, R, Java, C#, and C to make sense of the book’s explanations of the various algorithms presented
6| The Road to Superintelligence and Its Perils and Opportunities
What It’s About: In this groundbreaking work, Nick Bostrom provides the groundwork for comprehending the long-term prospects of both humans and other forms of intelligent life. Indirect normativity, instrumental convergence, whole-brain emulation, technology couplings, and more are all illuminated in this book. So are oracles, singletons, boxing methods, tripwires, and mental crimes.
7| Intro to AI: A Foundational Study
In this book, the author takes a methodical approach to examining the techniques that must be used when creating an AI agent that can solve problems. The reasoning process is highlighted in A First Course in Artificial Intelligence. The book makes important contributions to both established approaches and cutting-edge ideas in the field, such as Tabu Search, ontology for the Semantic Web, etc.
8|Introduction to AI Fundamentals
This book, Artificial Intelligence: The Basics, provides an accessible and state-of-the-art introduction to the dynamic field of AI. Kevin Warwick delves into technological developments in robotics and questions of human nature in this insightful look at both. There are discussions on the definition of intelligence, the role of sensory input in artificial systems, the controversial culture of human neurons, and more in this book.
The Straightforward Economics of AI Prediction Machines 9
An excellent resource for learning how simple economic concepts shed light on the AI revolution, this book explains how to apply these concepts to the field. The book teaches how to deal with the upcoming changes and effects of AI on the economy.
10| AI and the Challenge of Command and Control
About: Stuart Russell, the author of this book, shows how AI truly functions and why the technology has tremendous potential to better people’s lives. The book is also useful for comprehending why humans must guard against ever surrendering command over technology. Russell demonstrates how we, as a species, may change the parameters of AI such that it serves our needs rather than those of the robots.