- What is Artificial Intelligence?
- 10 Best Books on Artificial Intelligence
- 1. Life 3.0 Being Human in the Age of Artificial Intelligence
- 2. Artificial Intelligence- A Modern Approach (3rd edition)
- 3. Artificial Intelligence By Example-2nd edition
- 4. Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
- 5. Artificial Intelligence and Machine Learning 1st Edition
- 6. A First Course in Artificial Intelligence
- 7. Machine Learning (in Python and R) For Dummies
- 8. Artificial Intelligence in Healthcare
- 9. Applied Artificial Intelligence: A handbook for business leaders
- 10. Human Compatible: Artificial Intelligence and the Problem of Control
- Frequently Asked Questions
- Q.1: Is artificial intelligence a good career?
- Q.2: What is Artificial Intelligence, give some examples.
- Additional Resources
Artificial Intelligence is one of the most trending buzzwords in technology today. With technologies such as Siri and Alexa, we’re seeing more and more how computers can simulate human thinking processes and even perform tasks that were once considered too difficult to be carried out by machines.
Artificial Intelligence has spanned the imagination of science-fiction writers, philosophers, and technologists for some time now. For many people, AI remains a bit of a black box — something that can’t really be understood or defined. To help with that, we have created a list of books that will help you explore the fascinating world of Artificial Intelligence, but before that, we should have a basic understanding of AI.
What is Artificial Intelligence?
Artificial intelligence is an area of computer science that allows us to develop intelligent machines that can act, think, and make decisions like people. Artificial intelligence arises when a machine can learn, reason, and solve problems in the same way that humans do. You don’t need to pre-program a machine to accomplish some task using Artificial Intelligence; nevertheless, you can design a computer with programmed algorithms that can work with its own intelligence, which is AI’s greatness. A few examples of AI which we witness in our everyday lives include:
- Self -Driving cars
- Digital Assistants like Google Assistant and Siri
- Movie recommendations systems
- Smart farming
- Face recognition
10 Best Books on Artificial Intelligence
1. Life 3.0 Being Human in the Age of Artificial Intelligence
We are at the start of a new epoch. As AI transforms war, crime, law, work, and society – and even our understanding of what it means to be human – what was once science fiction is swiftly becoming reality. AI has the potential to revolutionize our collective future more than any other technology, and no one is more positioned to do it than Max Tegmark, an MIT professor and co-founder of the Future of Life Institute, whose work has aided mainstream study on how to keep AI benign.
This book submerges readers in the most cutting-edge AI thought process in order to explore the next phase of human evolution. The book examines how to profit from automation without putting people out of work, how to assure that future AI systems function as intended without failing or being hacked, and how to prosper in life with AI without being outsmarted by fatal autonomous robots.
Author: Max Tegmark
Rating: 4.5 out of 5
2. Artificial Intelligence- A Modern Approach (3rd edition)
Since the last edition in 2003, there have been significant advancements in the field of artificial intelligence (AI) and this book covers all of them. There have been significant AI applications, such as the widespread use of practical speech recognition, machine translation, autonomous vehicles, and home robotics. There have been algorithmic milestones, like solving the checkers game. Theoretical research has also been made, particularly in fields like probabilistic reasoning, machine learning, and computer vision.
Author: Peter Norvig and Stuart Russel
Rating: 4.5 out of 5
3. Artificial Intelligence By Example-2nd edition
Artificial Intelligence for example can help you become a more adaptable thinker and apply concepts to real-world situations. You’ll discover how to deal with the machine you’re up against by looking at some of the most interesting AI applications, ranging from a simple chess engine to a cognitive chatbot. You’ll learn about some of the most advanced machine learning models, how to apply AI to blockchain and IoT, and how to use neural networks to generate emotional quotients in chatbots. Rather than being confused by sophisticated architectures and approaches, you will move on to building AI solutions straightforwardly. The new edition also includes examples on hybrid neural networks, which combine RL and DL, chained algorithms, which combine unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you’ll have a firm grasp on the foundations of AI and will have completed a variety of case studies to aid in the development of corporate vision.
Author: Denis Rothmanl
Rating: 3.9 out of 5
4. Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
Key neural network learning algorithms are introduced casually in this well-illustrated book, followed by extensive mathematical analyses. Both historically significant neural networks (such as perceptrons) and current deep neural networks are discussed (e.g. generative adversarial networks). Hands-on experience with neural networks is provided using online computer programs compiled from open-source repositories, and PowerPoint slides are used to enhance training. This is an appropriate introduction to the algorithmic engines of modern artificial intelligence, written in an easygoing style with a comprehensive glossary, instructional appendices (e.g. Bayes’ theorem), and a list of future reads.
Author: James V Stone
Rating: 4.4 out of 5
5. Artificial Intelligence and Machine Learning 1st Edition
This book is primarily intended for undergraduate and postgraduate students of computer science and engineering. This textbook covers the gap between the difficult contexts of Artificial Intelligence and Machine Learning. It provides the most number of case studies and worked-out examples. In addition to Artificial Intelligence and Machine Learning, it also covers various types of learning like reinforced, supervised, unsupervised and statistical learning. It features well-explained algorithms and pseudo-codes for each topic which makes this book very useful for students.
Author: Vinod Chandra
Rating: 3.9 out of 5
Price: ₹472.50 (kindle edition)
6. A First Course in Artificial Intelligence
An Introduction to Artificial Intelligence Artificial Intelligence, the first edition takes a bottom-up approach to problem resolution, examining the fundamental techniques (beginning with search-based methods and progressing to knowledge-based methods) and focusing mostly on the intelligence portion. The book covers both traditional and modern approaches to the problem, such as Tabu Search and Beam Search. The book is an entertaining read because of the simple explanations for the ideas, as well as the abundance of examples, illustrations, and commentaries.
Author: Deepak Khemani
Rating: 4.3 out of 5
7. Machine Learning (in Python and R) For Dummies
This provides a much-needed entry point for anyone interested in applying machine learning to real-world problems. This book makes machine learning simple to comprehend and put into practice. It covers:
- How Machine Learning is used in day-to-day activities.
- Python and R are introduced, as well as how to execute pattern-oriented jobs and data analysis.
- Coding in R using R studio.
- Coding in Python using Anaconda.
Author: John Paul Mueller and Luca Massaron
Rating: 4.3 out of 5
8. Artificial Intelligence in Healthcare
This book examines the importance of artificial intelligence in healthcare, how it is revolutionizing all parts of healthcare and walks you through existing and future AI applications in healthcare, including those in development. It also covers ethical concerns about AI in healthcare, AI principles and how they work, AI’s critical position in all major medical specialties, and the role of start-ups and corporate players in AI in healthcare.
Author: Dr. Parag Suresh Mahajan
Rating: 4.5 out of 5
9. Applied Artificial Intelligence: A handbook for business leaders
Applied Artificial Intelligence is a hands-on handbook for business leaders who want to use machine intelligence to improve their enterprises’ efficiency and the quality of life in their communities. This is your playbook if you want to create enterprise-wide innovation by combining data, technology, design, and people to solve real-world challenges.
This book does not bore you with generalizations about humanity’s future or overload you with information on troubleshooting TensorFlow code. Instead, it’ll show you how to lead successful AI efforts by choosing the correct opportunities, assembling a diverse team of experts, performing strategic tests, and intentionally creating your solutions to benefit both your company and society. This book is dedicated to assisting you in making concrete business decisions using artificial intelligence and machine learning.
Author: Adelyn Zhou and Marlene Jia
Rating: 4.2 out of 5
10. Human Compatible: Artificial Intelligence and the Problem of Control
Superhuman artificial intelligence, in the public imagination, is a rising tidal wave that threatens not only jobs and human relationships but civilization itself. Human-machine conflict is considered unavoidable, with an all-too-predictable result. Stuart Russell, a renowned AI researcher, argues in this ground-breaking book that this nightmare can be avoided, but only if we rethink AI from the bottom up. Russell starts by delving into the concept of intelligence in both humans and machines. He explains the near-term benefits we might expect, ranging from intelligent personal assistants to significantly faster scientific research, as well as the AI breakthroughs that must occur before we achieve superhuman AI. He also outlines the various ways in which humans are already abusing AI, ranging from fatal autonomous weaponry to viral sabotage.
Author: Stuart Russel
Rating: 4.6 out of 5
The AI field, with its ability to affect every aspect of our lives, is continuing to grow and expand. If you’re looking to get a foothold in the world of artificial intelligence and learn everything you need to know for a fast start, these books are your first step.
Frequently Asked Questions
Q.1: Is artificial intelligence a good career?
Ans: Artificial intelligence is the most promising career out there. There are more AI jobs than skilled professionals to fill them.
Q.2: What is Artificial Intelligence, give some examples.
Ans: Artificial intelligence (AI) is a branch of computer science that studies and develops computer systems that can do activities that would ordinarily need human intelligence. Artificial intelligence may possess aspects of human intellect such as speech recognition, decision-making, and visual perception.