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Artificial intelligence has been the stuff of mad dreams, and sometimes nightmares, throughout our collective history, Early computing technology ushered in a new branch of computer science dealing with the simulated intelligence of machines. Now AI is rapidly changing the way we live and do business, which leaves many business leaders to feel like they’re struggling to keep pace with developments.

Today we are going to discuss some Best artificial intelligence books to read for beginners and more experienced AI Professional and AI Experts. We have shortlisted some of the highly recommended artificial intelligence books for beginners as well as artificial intelligence professionals. We have reviewed the best Artificial Intelligence books available. And to be honest, these books were really hard to find.

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Top 10 Best Artificial Intelligence Books

1. Artificial Intelligence: A Modern Approach

Artificial Intelligence: a Modern Approach book is Written by Peter Norvig is one of the best Artificial Intelligence Books that has been used in over 1200 universities and is one of the most highly cited publications.

This AI Book Contains important applications of AI technology, such as the widespread deployment of practical speech recognition, machine translation, autonomous vehicles, and household robotics. There have been algorithmic landmarks, such as the solution of the game of checkers. There has also been a great deal of theoretical progress, particularly in areas such as probabilistic reasoning, machine learning, and computer vision.

If you are looking for one of the best Artificial Intelligence Books, then this is surely a top AI Book you pick. There is detailed information on building Agents, graph algorithms incl. A* Search, and how to navigate in areas of uncertainty. Great book with lots of content and examples.

2. Machine Learning For Absolute Beginners

Machine Learning for Absolute Beginners Second Edition Artificial Intelligence Book has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home.

If you are extremely interested in the concept of Machine Learning, but lacking the technical know-how to make sense of it all, then this is one of the best artificial intelligence books for you. Designed for people that have no background in coding or programming, it pretty much does what it says on the tin.

This artificial intelligence book provides simple and visually engaging examples, and interactive exercises to assist you in understanding concepts that may have been previously out of reach. This is an excellent Artificial Intelligence Book for beginners who want to understand the terms and get introduced to the subject.

3. Introduction to Artificial Intelligence

Introduction to Artificial Intelligence book presents an introduction to the science of reasoning processes in computers, and the research approaches and results of the past two decades.

You’ll find lucid, easy-to-read coverage of problem-solving methods, representation and models, game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis, and specific artificial-intelligence accomplishments.

Related subjects are also included: predicate-calculus theorem proving, machine architecture, psychological simulation, automatic programming, novel software techniques, industrial automation and much more.

The combination of introductory and advanced material make Introduction to Artificial Intelligence books ideal for both the layman and the student of mathematics and computer science. For anyone interested in the nature of thought, it will inspire visions of what computer technology might produce tomorrow.

4. Python Machine Learning

Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace.

Many of the breakthroughs in current A.I. research come from applications of machine learning. Python has proved to be an excellent language to use to further one’s knowledge in the field. This artificial intelligence book sets out to teach the Development of Learning Algorithms, Transforming Raw Data into Useful Information, Classifying Objects, Regression Analysis.

If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.

5. Life 3.0: Being Human in the Age of Artificial Intelligence

One of the favorite Artificial intelligence books of Elon Musk and one in which Musk was inspired to describe developing advanced A.I. as akin to “summoning the demon” and also One of Barack Obama’s favorite artificial intelligence books of 2018 and named Book of the Year by both The Times and The Daily Telegraph, this highly praised book more than lives up to the hype.

Life 3.0: Being Human in the Age of Artificial Intelligence book is Best for Facilitating challenging, thought-provoking conversations about AI, whether you want to impress folks around the water cooler or instigate serious AI strategy discussions.

6. Machine Learning by Tom M Mitchell

This artificial intelligence book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. This Artificial Intelligence Book is intended to support upper-level undergraduate and introductory level graduate courses in machine learning.

After you’ve read the above related Artificial Intelligence Book, you are good to dive into the world of machine learning. And this is a great introductory book to start your journey. This Artificial Intelligence Book provides a nice overview of ML theorems with pseudocode summaries of their algorithms. Apart from case studies, Tom has used basic examples to help you understand these algorithms easily.

7. Robot Ethics – The Ethical and Social Implications of Robotics

The first book in a two-part series, Robot Ethics is a starting point for learning how to design and hard-code ethics into robotic artificial systems. In this Artificial Intelligence Book, Prominent experts from science and the humanities explore issues in robot ethics that range from sex to war.

Robots today serve in many roles, from entertainers to educators to executioners. This volume is the first book to bring together prominent scholars and experts from both science and the humanities to explore these and other questions in this emerging field.

Some of the covered topics include Exploring Emotional Bonds With Robots, Programming A Code of Ethics, Ethical Military Use in War, Liability and Privacy Concerns. Finally, they explore the possibility that robots, whether biological-computational hybrids or pure machines, should be given rights or moral consideration. Ethics is often slow to catch up with technological developments.

8. Hands-on Machine Learning with Scikit-Learn and Tensorflow

Scikit-Learn and TensorFlow underline practical examples, minimal theory, with two production-ready Python frameworks to gain an intuitive understanding of the concepts and tools used to build intelligent systems. Reading this book, the readers will learn how to use a range of techniques, from the simple Linear Regression and progressing to Deep Neural Networks.

Readers who have some programming experience and are enthusiastic to code a machine learning project should get in hands with this guide. Scikit-Learn is an accessible framework implementing many algorithms efficiently thus serving as a great machine learning beginning point.

The Artificial Intelligence Book also guides on TensorFlow, which is a more complex library for distributed numerical computation and is ideal to train and run very large neural networks.

9. Human + Machine: Reimagining Work in the Age of AI

Daugherty and Wilson are Accenture’s Chief Technology and Innovation Officer and Managing Director of IT and Business Research, giving this AI book a laser-like focus on the business implications of AI – or, more specifically, how companies are using AI to innovate and grow.

AI is a radically transforming business. Are you ready? No business process will be left untouched by AI. Across all areas of business, humans and intelligent machines are working more closely together and changing how companies operate. Best for Providing a practical blueprint for business leaders who want to capitalize on the AI revolution.

10. The Singularity is Near

The Singularity Is Near: When Humans Transcend Biology is a 2005 non-fiction book about artificial intelligence and the future of humanity by inventor and futurist Ray Kurzweil. Similar to the above idea propounded by Nick Bostrom, Ray Kurzweil’s ‘Singularity is Near’ delves into the thick depths of superintelligent machines. It is a slightly long read, but well worth it in the end. The way Mr. Ray has described the Singularity is breathtaking and will make you stop in your tracks.

Singularity, as Ray Kurzweil has described it, is the point where humans and the intelligence of machines will merge. Once this happens, machines will be far more intelligent than all of the human species combined. It’s NOT science fiction but a truly poignant description of what might happen in the future if we aren’t careful with what and how we work with AI.