Top 10 Books On AI ( Artificial Intelligence)

books on artificial intelligence by digital thakur

Top 10 books on artificial intelligence (AI) this collection will help you get a fair idea on the concept of Artifical Intelligence. Artificial Intelligence is one of the terms in technology that is used the most today. Thanks to innovations like Siri and Alexa, we are increasingly seeing how computers can mimic human cognitive processes and even carry out tasks formerly considered too difficult for robots to do. Science fiction authors, philosophers, and technologists have all been enthralled with artificial intelligence for a long time. AI remains somewhat of a mystery to many people, which cannot be fully understood or described.

One of the most critical investments in the following years will be the capability to use AI and fully realize its potential. So, we’ve compiled a list of some of the most outstanding books on artificial intelligence, hope you like the collection.

1. Life 3.0 Being Human in the Age of Artificial Intelligence by Max Tegmark
This book immerses readers in the most advanced cognitive AI processes to explore the next phase of human evolution. The book examines how to reap the benefits of automation without replacing people, ensure that future AI systems operate as intended without malfunctioning or being compromised, and thrive in modern society while utilizing AI without falling victim to deadly autonomous robots.

2. Artificial Intelligence: A Modern Approach by Stuart J. Russell & Peter Norvig

For both academic and informal learners, this is an excellent overview of AI that is concise and to the point. This book is very intriguing, has gained attention, and stands out from the competition owing to its clarity, classification, and organization. Realizing how much AI now influences our lives, let alone what is to come, is astounding. Everyone often interacts with AI; therefore, failing to understand it would be a grave error. Anyone curious to learn more about the subject and its potential applications is highly encouraged to read it.

3. Do Your Neural Work by Tariq Rashid

This Artificial Intelligence reference book explains neural network theory and shows you how to create your own using Python. This reference work will take you on a leisurely journey. It begins with fundamental concepts and goes up to a thorough understanding of neural network operation. Additionally, this book will teach you Python programming and how to transform your neural network into a network that has been well-created.

The first three parts focus on the many mathematical concepts supporting neural networks. The second section is more participatory, encouraging users to learn Python and build their neural networks. The fascinating brain of a neural network is explored in the last quarter.

4. Artificial Intelligence and Machine Learning by Vinod Chandra S. S.

The book’s intended audience is students studying computer science and engineering at the undergraduate and graduate levels. The challenging problems of machine learning and artificial intelligence are bridged in the book. Case studies and worked-out examples are used to explain all ideas.

Additionally, it encompasses additional learning modalities, including machine learning, artificial intelligence, supervised learning, and reinforcement learning. For those working in the field of starting AI, the book’s inclusion of well-explained algorithms and pseudo-codes in each chapter makes it very helpful.

5. The Sentient Machine: The Coming Age of Artificial Intelligence by Amir Husain

In The Sentient Machine, Husain “sets us up for a more promising future, not with hyperbole about right and evil, but with arguments about risk and opportunity”. He talks about critical existential issues brought up by the development of AI, such as the value of humanity. What can we create here on Earth? How wise are we? What do we see as advancement? And how may we fail to achieve our objectives? Husain employs cultural and historical connections to support his claims while demystifying complex computer science and artificial intelligence ideas. Finally, Husain challenges many social norms and notions of “the good life.”

6. A First Course in Artificial Intelligence by Deepak Khemani

The first course in Artificial Intelligence analyses the fundamental strategies (beginning with search-based procedures and progressing to knowledge-based systems) and focuses mainly on the intelligence component. The book discusses established and cutting-edge approaches to the problem, including Tabu Search and Beam Search. The book is a fascinating read due to the topics’ concise explanations and the abundance of examples, photos, and discussion.

7. Artificial Intelligence by Example by Denis Rothman

By using actual occurrences, this book offers a basis for understanding how artificial intelligence functions. The most cutting-edge machine learning models, how to integrate AI with blockchain and IoT, and how to leverage neural networks in chatbots to produce emotional quotients are all topics you’ll learn about. By the back of this book, you will be well-versed in the foundations of AI and have finished many case studies that will aid in creating a corporate vision. This book is your beginning point for modifying and honing your cognitive and motor skills to address real-world AI difficulties. You’ll need experience with Python and statistical skills to obtain the most out of this book.

8. Artificial Intelligence for Humans By Jeff Heaton

This book provides readers with an overview and grasp of artificial intelligence algorithms. It is meant to teach AI to folks who do not have a strong math background. Readers need a basic knowledge of college mathematics and computer programming.

We detail the basic AI techniques of linear regression, clustering, dimensionality, and distance metrics. Numerical computations that readers may perform on their own are used to demonstrate the principles, along with compelling examples and real-world application scenarios.

9. Human + Machine: Reimagining Work in the Age of AI by Paul R. Daugherty

According to Accenture executives Paul R. Daugherty and H. James (Jim) Wilson in Human + Machine, the transformation of all business processes within an organization, whether related to ground-breaking innovation, routine customer service, or individual productivity habits, is the essence of the AI paradigm shift. As people and intelligent technology collaborate more closely, work processes become more fluid and adaptable, enabling firms to make quick changes or completely rethink them—the regulations governing how firms operate all change as a result of AI.

10. The Hundred-Page Machine Learning Book by Andriy Burkov

Many industry professionals regard this book as the best one on machine learning. It provides brand-new users with a thorough introduction to machine learning’s fundamentals. Based on the author’s extensive knowledge of AI offers valuable guidance for seasoned professionals. Each practical machine-learning approach is covered in the book. They cover the whole spectrum from conventional linear and logistic regression to cutting-edge support vector machines, boosting, Deep Learning, and random forests. People who wish to comprehend more about the mathematics underlying machine learning algorithms and are unfamiliar with them should read this book.

Wrapping Up

So, these were the top 10 books on artificial intelligence books we suggest starting with. You should be familiar with terms like Machine Learning, Deep Learning, Computer Vision, Neural Networks, and many others that fall under Artificial Intelligence. Stay tuned with us for more such info!

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