Artificial Intelligence (AI) has come a long way over the past few years in simulating human intelligence. Today, AI is the lifeblood of almost every organisation cutting across sectors including, retail, financial, healthcare, among others.
Here’s an updated list of 10 best intro books on artificial intelligence geared towards AI enthusiasts.
1| Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
About: Mathematics and statistics are the backbone of artificial intelligence. This book is perfect for understanding the basics and the mathematics behind AI. Written by James V Stone, the book gives the whole works on deep neural networks. Here, each neural network learning algorithm is introduced informally with diagrams, and to cement the reader’s understanding, each algorithm is accompanied by a step-by-step summary written in pseudocode.
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2| Artificial Intelligence Basics: A Non-Technical Introduction
About: Written by Tom Taulli, Artificial Intelligence Basics: A Non-Technical Introduction will help a reader understand the fundamentals of AI and its impact on the world. The book offers an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. The book will help you understand the concepts through real-world case studies and practical implementation steps on AI approaches such as deep learning, NLP (Natural Language Processing), chatbots and Robotic Processing Automation (RPA), among others.
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3| Artificial Intelligence – A Modern Approach (3rd Edition)
About: The third edition of this book captures the changes that have taken place in the field of artificial intelligence (AI) since the last edition in 2003. Written by Stuart J. Russell and Peter Norvig, this book will help you gain insights on the important applications of AI including the deployment of speech recognition, machine translation, driverless vehicles, household robotics, among others.
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4| Artificial Intelligence For Dummies
About: Written by Luca Massaron and John Paul Mueller, the book gives a basic introduction to artificial intelligence and how it is used today. The book offers an overview of AI technology and addresses common misconceptions regarding Artificial Intelligence. You will also discover the limits of AI, explore the use-cases for AI in computer applications etc.
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5| Artificial Intelligence for Humans
About: In this book, author Jeff Heaton writes about the basic AI algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, Nelder Mead, and linear regression. The book explains all algorithms using actual numeric calculations and the reader needs a basic knowledge of college algebra, mathematics and computer programming languages like Python, R, Java, C# and C to understand the concepts.
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6| Superintelligence: Paths, Dangers, Strategies
About: Author Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life in this futuristic masterpiece. The book sheds light on topics, such as oracles, singletons, boxing methods, tripwires and mind crime, humanity’s cosmic endowment and differential technological development, indirect normativity, instrumental convergence, whole brain emulation and technology couplings and more.
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7| A First Course in Artificial Intelligence
About: This book follows a step by step approach, exploring the strategies needed for implementing a problem-solving agent in AI. A First Course in Artificial Intelligence focuses on the reasoning part of intelligent activity. Also, the book contributes to both the classical methods and updated concepts of the subject like Tabu Search, Ontology for the Semantic Web, etc.
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8| Artificial Intelligence: The Basics
About: Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast-moving world of AI. The author Kevin Warwick examines issues of what it means to be human and looks at advances in robotics. The book touches upon how intelligence can be defined, sensory input in machine systems, the controversial culturing of human neurons, and more.
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9| Prediction Machines: The Simple Economics of Artificial Intelligence
About: This is a perfect book to understand how basic tools from economics provide clarity about the AI revolution. The book explains how to navigate the changes and impact of AI in our economy in the coming years.
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10| Human Compatible – AI and the Problem of Control
About: In this book, author Stuart Russell explains how artificial intelligence actually works, how the technique has an enormous potential to improve lives. Also, the book helps in understanding why humans must ensure that they never lose control over machines. Russell also shows how humans can avert the worst threats by reshaping the foundations of artificial intelligence to guarantee that machines pursue our objectives, not theirs.
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