Artificial intelligence is the buzzword these days, thanks to ChatGPT. With the advent of computing technology, man started imagining various types of intelligent machines to make his life easier. Now, the field of AI has gained momentum, with many professionals choosing a career in it.
Are you ready to explore the incredible potential of artificial intelligence?
Look no further, because we’ve got the key to the kingdom of AI reservoirs right here. Check out the ultimate reading list on Artificial Intelligence – the Top 20 Best Books on AI!
Who should read AI books?
In a world where AI is no longer just science fiction but a real, ever-evolving part of our lives, understanding its concepts, implications, and possibilities has never been more crucial. Whether you’re a curious newcomer, a tech enthusiast, a student, or a seasoned professional, these AI books are your golden ticket to a world where machines can think, learn, and revolutionize the way we live and work.
Why invest your time in AI books?
Well, here’s the deal: Artificial Intelligence is not merely a buzzword or a trend; it’s a game-changer. From transforming industries, improving healthcare, and enhancing decision-making to enabling self-driving cars, chatbots, and virtual assistants, AI is everywhere, and it’s only getting started.
But wait, there’s more!
These books are not just the key to understanding AI; they’re your passport to participating in shaping its future. By delving into the pages of these carefully curated titles, you’ll not only grasp the fundamentals but also gain insights into the ethical, social, and economic aspects of AI. You’ll become well-versed in the possibilities and challenges AI presents, and ultimately, you’ll be ready to contribute to the ongoing AI revolution.
So, if you want to understand how AI can predict your preferences, translate languages in an instant, and recommend your next binge-worthy show? Dive into our collection, and you’ll emerge with the knowledge and insights to see AI in a whole new light.
Top 20 Books on AI: Best books to learn about Artificial Intelligence
The top 20 books on AI are listed below, which can form your ultimate reading list. Take a look below.
These books will help you gain perspective on artificial intelligence through the eyes of many learned authors. Maybe some of them could convince you not to lose your job to AI shortly, as predicted by many AI pundits.
1. Artificial Intelligence By Example by Denis Rothman
This book written by Denis Rothman can provide you with rich information on some of the most advanced machine learning models. You can learn how to apply AI to blockchain and IoT with the help of this book. Also, when you finish this book, you will know how to use neural networks to create and generate emotional quotients in chatbots.
This book is a must for all beginners of AI. Its current price is $43 and is available on all online selling platforms like Amazon or eBay. This book can help you better adapt to AI technology and practically apply the concepts of AI in the real world.
2. Artificial Intelligence & Machine Learning by Vinod Chandra S.S. and Anand Hareendran
The book was written by Indian authors Vinod Chandra S.S. and Anand Hareendran. It is a boon to all AI beginners. The book is a must for all undergraduate and postgraduate students of computer science and engineering. The USP of this book is its ability to cover the gaps between AI and Machine Learning with the help of examples and case studies.
This book is known for explaining topics like reinforced, supervised, unsupervised, and statistical learning with ease to the students of AI. You may find a brilliant list of algorithms and pseudo-codes for each topic in this book as well. Overall, it is a useful book for students. It is available for $ 29 on various platforms.
Read Also: Top 20 Certification and Courses Required to Boost Your Career
3. Life 3.0 Being Human in the Age of Artificial Intelligence by Max Tegmark
This is a book written by Max Tegmark and has captured the market ever since it was published. This book explains the myths and realities of artificial intelligence in today’s world. In short, it tells us how science fiction is becoming the reality of today. It shapes the understanding of us being human in this AI age.
Max Tegmark is a professor at MIT and is also the co-founder of the Future of Life Institute. His work on keeping AI benign is one of the most important achievements of this age. His book not only talks about the current scenario of artificial intelligence but also explains the AI thought process that will shape the next phase of human evolution. This is a highly recommended book for all beginners of AI. If you are worried about robots outsmarting you soon, this book has recommendations on how to avoid it.
4. Artificial Intelligence- A Modern Approach by Stuart J. Russel and Peter Norvig
This book written by Stuart J. Russel and Peter Norvig can shape your thought process of AI. The book is running in its third edition and is ruling the market. It talks about AI applications, the recent use of practical speech recognition, machine translation, home robotics, and autonomous vehicles.
It would cost you $190 to buy this book.
5. Artificial Intelligence Engines- A Tutorial Introduction to the Mathematics of Deep Learning by James V Stone
This book was written by James V Stone and cost around $70. It is a well-illustrated book that explains neural network learning algorithms with the help of mathematical analyses.
You can also read about current deep neural networks and historically important neural networks in this book. It also provides details on the algorithmic engines of modern AI. All in all, it is a student-friendly book.
6. A First Course In Artificial Intelligence by Deepak Khemani
Written by Deepak Khemani, this book deals with fundamental techniques of AI using both traditional and modern approaches. It costs $32, thus is also pocket-friendly.
7. Machine Learning (in Python and R) For Dummies by John Paul Mueller and Luca Massaron
The book is written by John Paul Mueller and Luca Massaron. It is an entry-level book that has proven to be beneficial for many beginners in AI. It also details how to apply machine learning to real-life world problems.
Students can learn Coding in R using R studio and Coding in Python using Anaconda using this book. It costs about $17 and is available on various online platforms.
Read Also: What are the types of Artificial Intelligence with Examples?
8. Human Compatible- Artificial Intelligence and the Problem of Control by Stuart Russel
This book is written by Stuart Russel and is available on various platforms for INR 1023. The author of this book is a renowned AI researcher. In the book, he has presented an argument on how certain nightmares like AI overtaking humanity, our jobs, etc. can be avoided.
He has explained a brilliant bottom-up approach in this regard. This book also details how humans are already abusing AI by developing fatal weaponry and causing viral sabotage.
9. Applied Artificial Intelligence- A handbook for business leaders by Adelyn Zhou and Marlene Jia
If you wish to begin a start-up based on AI or use machine intelligence to improve your organization’s efficiency, then this is the guiding light for you. The authors of this book are Adelyn Zhou and Marlene Jia.
10. Artificial Intelligence in Healthcare by Dr Parag Mahajan
How can healthcare remain lagging in taking advantage of artificial intelligence? This book written by Dr Parag Mahajan examines the significance of AI in medicine and the healthcare industry. It deals with ethics and principles that should be followed if AI is to be used in healthcare.
11. Superintelligence: Paths, Dangers, Strategies by Nick Bostrom
This book is written by Nick Bostrom and asks a question that is present in each human mind of this age- What will happen once we build computers that will outsmart us? The book explores various potential risks that machines and artificial intelligence would pose to humanity.
Read Also: What is ChatGPT and How to use this AI tool?
12. Artificial Intelligence Basics: A Non-Technical Introduction by Tom Taulli
This book written by Tom Taulli is a good read for business leaders who wish to use AI to progress in their fields. This book provides beginners’ knowledge in the field of AI and thus is for those with a non-technical background.
13. Fundamentals of Machine Learning for Predictive Data Analytics
This book provides you with details on the application of machine learning and artificial intelligence in predictive data analysis. It covers the mathematics part of AI but with easy examples that make the book reader-friendly.
14. Deep Learning (Adaptive Computation and Machine Learning series)
Ian Goodfellow, Yoshua Bengio, and Aaron Courville are the authors of this brilliant book. The book has been designed for undergraduate and postgraduate students pursuing their careers in the field of software engineering. It is available on Amazon and MIT Press.
15. Neural Networks and Deep Learning
Written by Charu C. Agarwal, this book is a boon for researchers and graduate students. The book tackles the relationship between traditional AI and deep learning using neural networks.
16. Advances in Financial Machine Learning
This book is written by Marcos Lopez de Prado and deals with financial sectors linked with AI.
17. Architects of Intelligence: The Truth about AI from the people building it
Written by Martin Ford, this book is for the skeptics of AI. It informs the readers of the impacts of AI on the job market, the economy, and the society.
18. Artificial Intelligence: An Essential Beginner’s Guide to AI
This book is written by Neil Wilkins and apart from the topics provided in the title of the book, it also deals with employment opportunities that can be provided by AI.
19. Make Your own Neural Network
This book written by Tariq Rashid is a step-by-step guide of the use of neural networks.
20. Machine Learning: The New AI
Published by MIT Press and authored by Ethem Alpaydin this book details the basics and applications of machine learning.
| Title | Author(s) | Price | Highlight |
| Artificial Intelligence By Example | Denis Rothman | $43 | Advanced ML models, neural networks, emotional quotient in chatbots |
| Artificial Intelligence & Machine Learning | Vinod Chandra S.S., Anand Hareendran | $29 | Beginner-friendly, examples, case studies, learning algorithms |
| Life 3.0 | Max Tegmark | Varies | Future of AI, human-AI coexistence, ethical implications |
| Artificial Intelligence: A Modern Approach | Stuart J. Russel, Peter Norvig | $190 | Comprehensive, autonomous systems, third edition |
| Artificial Intelligence Engines | James V Stone | $70 | Mathematical analysis, neural networks, student-friendly |
| A First Course In Artificial Intelligence | Deepak Khemani | $32 | Fundamental AI techniques, traditional and modern approaches |
| Machine Learning (in Python and R) For Dummies | John Paul Mueller, Luca Massaron | $17 | Entry-level, coding in Python & R, practical application |
| Human Compatible | Stuart Russel | INR 1023 | AI control, bottom-up approach, ethics |
| Applied Artificial Intelligence | Adelyn Zhou, Marlene Jia | Varies | AI for business leaders, practical use cases |
| Artificial Intelligence in Healthcare | Dr Parag Mahajan | Varies | AI in medicine, ethics in healthcare |
| Superintelligence | Nick Bostrom | Varies | Risks of AI, AI vs humans, ethical scenarios |
| Artificial Intelligence Basics | Tom Taulli | Varies | Non-technical intro, business use, beginner-focused |
| Fundamentals of Machine Learning for Predictive Data Analytics | Multiple Authors | Varies | Predictive analytics, mathematical base, easy examples |
| Deep Learning (Adaptive Computation and Machine Learning series) | Ian Goodfellow, Yoshua Bengio, Aaron Courville | Varies | Advanced deep learning, academic resource |
| Neural Networks and Deep Learning | Charu C. Agarwal | Varies | Research-focused, neural networks, deep learning |
| Advances in Financial Machine Learning | Marcos Lopez de Prado | Varies | Finance sector, ML applications |
| Architects of Intelligence | Martin Ford | Varies | Interviews with AI leaders, societal impact |
| Artificial Intelligence: An Essential Beginner’s Guide to AI | Neil Wilkins | Varies | Beginner-friendly, job opportunities in AI |
| Make Your Own Neural Network | Tariq Rashid | Varies | Hands-on neural network guide |
| Machine Learning: The New AI | Ethem Alpaydin | Varies | Basics of ML, MIT Press |
These were the top 20 books in the field of artificial intelligence that could help beginners. All the books mentioned above are available on various online and offline platforms.
Frequently Asked Questions (FAQs)
Answer: Life 3.0 Being Human in the Age of Artificial Intelligence has been voted to be the best book on artificial intelligence.
Answer: You can buy several books on artificial intelligence on various online platforms like Amazon, Kindle, bookswagon etc.
Answer: Yes, nowadays many good books are available that explain the concepts of artificial intelligence in layman’s language, so learning about AI is easier using books.
