Best Books on Artificial Intelligence 2020 – Add These Must-Read to Your Bookshelf

Best Books on Artificial Intelligence 2020 - Add These Must-Read to Your Bookshelf

Muhammad Imran

Author 

January 20, 2020

best books on artificial intelligence

Artificial intelligence is now being considered as the future of economic and technological development. The topic of research and best books on Artificial Intelligence involves machine learning solutions, natural language, problem-solving, planning, and reasoning. Robotics, Automation and sophisticated programs and software seek their future in Artificial Intelligence.

AI is now ruling the world and most corporations are now using AI for a great variety of use cases and applications. These applications include fraud detection, predictive analysis, improving customer experience, process automation, etc.

In the coming years, AI programmers and engineers will witness a boost in career opportunities because AI offers more accuracy and efficiency without any human intervention. If you are someone who does not know anything about artificial intelligence but are interested in learning about AI and beginning your career in it, here are some must-read best books on artificial intelligence that you must read in order to gain a good amount of knowledge.

Best Books on Artificial Intelligence in 2020 - List

1) Artificial Intelligence by Example - Denis Rothman

Artificial Intelligence by Example - Denis Rothman

This is what you can call a starting point for developing a clear understanding of how Artificial intelligence takes help with scenarios of real life in order to work. One of the best ai books. This book will help you to learn the most advanced models of machine learning, application of AI to IoT and blockchain, development of emotional quotient in chatbots by making use of neural networks. You will understand the basics of artificial intelligence and will work through a variety of case studies that will contribute to the development of your business vision. This book will provide aid for building your adaptive thinking for solving AI cases in real-life. If you have some statistical knowledge and experience with Python, you can easily understand what this book holds for you.

2) Artificial Intelligence and Machine Learning - Chandra S.S.V

Artificial Intelligence and Machine Learning - Chandra S.S.V

This book is basically for the students who are postgraduates or undergraduates of engineering and computer science. This books will help you to bridge the gap between the complex context of machine learning and artificial intelligence. It has a large number of case studies along with easy to understand worked out examples. Apart from machine learning and artificial learning, this book offers knowledge about several types of learning like supervised, unsupervised, statistical, and reinforced learning. The book has algorithms that are well-explained and also pseudocodes for every topic making this book essential for students who are looking for the best artificial intelligence books.

3) Machine Learning - Tom M. Mitchell

Machine Learning - Tom M. Mitchell

This book has a lot about machine learning (a study of algorithms that enables programs of the computer to improve automatically through experience). This book is mainly intended for students who are undergraduates of the upper level and also for courses of beginner level graduates of machine learning.

4) Artificial Intelligence Basics: A Non-Technical Introduction - Tom Taulli

Artificial Intelligence Basics - A Non-Technical Introduction - Tom Taulli

This book will help you grasp the basic concepts of Artificial Intelligence and what impact does it have. It gives a non-technical and easy introduction to concepts like Machine Learning, Robotics, Natural Language Processing, Deep Learning, and many more. The author further discusses the impacts of artificial intelligence on the future including aspects like ethics, organizational structure, governments, social trends, and daily life.

5) A First Course in Artificial Intelligence - Deepak Khemani

A First Course in Artificial Intelligence - Deepak Khemani

This book is exceptional as compared to other ai books. It explains basic strategies and required problem-solving that is mainly on the intelligence part. This book has a great feature that is the introductory course it has to offer on artificial intelligence and an excellent knowledge-based approach.

6) Applied Artificial Intelligence: A Handbook for Business Leaders - Mariya Yao, Adelyn Zhou, Marlene Jia

Applied Artificial Intelligence A Handbook for Business Leaders - Mariya Yao, Adelyn Zhou, Marlene Jia

This book serves as a guide for business makers who are interested in leveraging the intelligence of a machine to maximize their organization’s productivity and improving the living standards in their communities. One of the main focuses of this book is on driving concrete decisions for business by using machine language and artificial intelligence applications. This will be a great read for those people who want to adopt the technology of machine learning in order to get a value.

7) Artificial Intelligence in Healthcare - Mahajan MD, Parag Suresh

Artificial Intelligence in Healthcare - Mahajan MD, Parag Suresh

Explore the role of artificial intelligence in the field of healthcare with the help of this book. Learn how AI is greatly revolutionizing all the basic aspects of the healthcare industry and get a guide on the present state and future applications of artificial intelligence in healthcare (also the underdeveloped ones). This is one of the best books on artificial intelligence. It gives a deep understanding of ethical concerns regarding the use of AI in the industry of healthcare, principles of artificial intelligence, how it is working, an important role in all medical specialties, and the role of corporates and start-ups in artificial intelligence in healthcare.

8) Life 3.0 Being Human in the Age of Artificial Intelligence - Max Tegmark

Life 3.0 Being Human in the Age of Artificial Intelligence - Max Tegmark

This book will help you understand what the future with artificial intelligence will look like and what impacts it will have on human existence. The author discusses most-asked questions including how to adopt technology without making people jobless, and how to know that the future world with AI will work perfectly without getting hacked or malfunctioning. He also discusses how our lives can be flourished with AI without giving all powers to machines that are lethal and autonomous.

9) The AI Advantage: How to Put the Artificial Intelligence Revolution to Work - Thomas H. Davenport

The AI Advantage How to Put the Artificial Intelligence Revolution to Work - Thomas H. Davenport

Thomas provides a guide on how to use artificial intelligence in business. He is open about the technologies that are available and how organizations can make use of these technologies in order to get a competitive advantage and maximized benefits from their businesses. He clearly explained how business can adopt artificial intelligence and put it to work.

10) Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp - Peter Norvig

Paradigms of Artificial Intelligence Programming Case Studies in Common Lisp - Peter Norvig

This book will teach you advanced Common Lisp techniques in terms of creating major artificial intelligence systems. It reconstructs complex, authentic programs of artificial intelligence by making use of Common Lisp, debugs and builds strong practical programs along with a demonstration of key concepts of AI and superior programming style. It’s one of the most popular artificial intelligence books and it is very useful for basic AI courses and proves to be a great source of reference for a professional programmer.

11) Python: Beginner’s Guide to Artificial Intelligence - Rahul Kumar, Ankit Dixit, Denis Rothman, Amir Ziai, Mathew Lamons

Python Beginner’s Guide to Artificial Intelligence - Rahul Kumar, Ankit Dixit, Denis Rothman, Amir Ziai, Mathew Lamons

This book provides you knowledge of real-world contextualization by using learning problems regarding application and research. It helps you to understand how you can implement and design machine intelligence by making use of AI-based real-life examples. The author has given loads of knowledge about data analysis, deep learning, machine learning, Python, and also basic knowledge about artificial intelligence.

12) Python: Advanced Guide to Artificial Intelligence - Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani

Python Advanced Guide to Artificial Intelligence - Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani

This is a guide that you can use to learn algorithms for machine learning. You will about the extraction of features from your dataset and by using libraries that are Python-based how to perform dimensionality reduction. You will also learn Tensorflow’s advanced features and implementation of various techniques relating to object detection, image sensation, object classification, and more. This book will help you to have a deep knowledge of Tensorflow.

13) Machine Learning – The New AI - Ethem Alpaydin

Machine Learning – The New AI - Ethem Alpaydin

It is machine learning’s precise overview that underlies various applications including face recognition, driverless cars, and recommendation systems. The author has used simple and easy language for a general reader to understand evolution. He has explained learning algorithms that are important and presented many applications as examples.

14) Fundamentals of Machine Learning for Predictive Data Analytics – Algorithms, Worked Examples and Case Studies (The MIT Press) - John D. Kelleher, Brian Mac Namee

Fundamentals of Machine Learning for Predictive Data Analytics – Algorithms, Worked Examples and Case Studies (The MIT Press) - John D. Kelleher, Brian Mac Namee

This is one of the best books on ai. It offers a useful introduction to the most important approaches to machine learning. Mathematical and technical material is proved with worked-out examples and this book contains case studies that illustrate how these models can be applied in businesses.

15) Machine Learning for Beginners - Chris Sebastian

Machine Learning for Beginners - Chris Sebastian

The books describe the development and evolution of machine learning from the beginning of computer learning to machines becoming smarter than human experts. It describes the importance of data and how a large amount of data helps ML programmers to gain information that they require for the development of learning algorithms. This book gives an in-depth view of the relation between machine learning and artificial intelligence.

16) The Hundred-Page Machine Learning Book - Andriy Burkov

The Hundred-Page Machine Learning Book - Andriy Burkov

It is one of the best books on artificial intelligence by Andriy Burkov. This book has been regarded as the best book by many experts. It offers a clear and simple introduction to the basics of machine learning. And it has a lot of practical recommendations as the author has great experience in the artificial intelligence field.

You will know about all important approaches to machine learning ranging from logistic regression and classical linear to vector machines, modern support, random forests, and deep learning.

Artificial Intelligence Books FAQs:

Who invented artificial intelligence according to the books?

The history of AI has great stories with many myths and rumors included. The existence of modern AI is because of classical philosophers who first explained the thinking process of humans as mechanical manipulation of symbols.

Is artificial intelligence is related to deep learning?

AI is a concept that is broader than it appears by the name. It encompasses everything from traditional and old-fashioned AI to modern and advanced technologies i.e. deep learning.

Is artificial intelligence related to robotics? Programming and neural networks?

To overcome symbolic AI’s certain limitations, symbolic methodologies including fuzzy systems, evolutionary computation, neural network, and other models for computation began to get popularity.  And it led to the introduction of the term ‘computational intelligence’ that emerged as a daughter-field of artificial intelligence.

To overcome symbolic AI’s certain limitations, symbolic methodologies including fuzzy systems, evolutionary computation, neural network, and other models for computation began to get popularity.  And it led to the introduction of the term ‘computational intelligence’ that emerged as a daughter-field of artificial intelligence.

Conclusion

Making a career in Artificial Intelligence is possible in various spheres including healthcare, education, public undertakings, arts, private organizations, military, government services etc. AI’s extent is advancing with each passing day. Those who have the skills and abilities to make significant human conclusions by translating those digital bits of data will be able to enjoy a successful career in the coming years. There are loads of best books on artificial intelligence that you read and improve your understanding of AI.

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