Five Best Books to Learn about Artificial Intelligence

If you are looking for some great books to learn and understand Artificial Intelligence then you have come to the right place. Artificial Intelligence or AI is such a domain which seems like the galaxy of never-ending possibilities, so for gaining knowledge about AI, what else could be better than well comprehend and simplified books? Books are essentially a great source of knowledge and have high value and respect from those who really prefer them. So let’s do not waste much time and go to the list below.

Best Books to Learn Artificial Intelligence

1. Being Human in the Age of Artificial Intelligence

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This is one of the very interesting books written on artificial intelligence, you will be surprised to know that this book is one of the favorite books read by Elon Musk, and is also one which motivated Elon to work on a new project focusing on the development of advanced A.I. Yet this book deals passively with coding stuff but still it will facilitate you to learn basic knowledge of AI and you may get the strings to possibilities of AI in future.

2. Artificial Intelligence: A Modern Approach

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This book Artificial Intelligence: A Modern Approach written by Peter Norvig and Stuart J. Russell is a very popular book. It is used widely as university textbooks on Artificial Intelligence and is followed by approximately more than 1300 universities and colleges all across the world. The content of this book is composed mainly for undergraduate students but can also be used for graduate studies.

Here, I would like to mention a little bit about the approach this book uses initially, it demonstrates the action-taking ability of the AI systems, after which, it focuses on cognitive thinking required for games like chess following with the reasoning and decision-making in the presence of uncertainty in the environment.

Forwarded furthermore, it discusses the ways for generating knowledge required by the decision-making components and finally concluding with the past and future of AI by discussing what AI really is and why it has succeeded to some degree

3. Deep Learning with R

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Well, those who know little or more about deep learning, it is well known to them that Deep Learning with R is the perfect option to dive in with. François Chollet has written this book, who is a Google A.I researcher, indeed a good book for those who are having enthusiasm in deep learning.

Recommended: Difference between AI, Machine Learning and Deep Learning

It provides very good instructions manual for Keras and some of the insights from the book include deep learning from first principles, setting up your own deep-learning environment, image classification, and generation, deep learning of text and sequence. And to have better coordination with the book you should have an intermediate skill level in R programming

4. Artificial Intelligence and the End of the Human Era

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AND HERE THE PANDORA’S BOX OPENS AND YOUR SINS WILL VANISH YOUR SOLE EXISTENCE. nah!!! just joking, don’t go on its scary title, it is literally a very good book to read. This book is written by James Barrat, it explains how governments and many private enterprises around the globe are researching Artificial General Intelligence (AGI) and are investing heavily in it.

It is believed that if this goal is achieved, as, in one of the interviews of Elon Musk he said, these machines will have similar survival drives as we do, isn’t this scary, the machine may use or kill us for their own survival. Don’t worry if we humans can make them then we can resist them from doing so.

5. Python Machine Learning

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When it comes to A.I and machine learning, there is no doubt that Python plays a crucial role in the development of algorithms and models. In fact, Python is the language that breaths the A.I, most of the developers prefer python to develop A.I powered applications because of its easy syntax. This book provides guidance on the development of machine learning, transforming raw data into useful information, classifying objects and regression analysis. It also has plenty of examples in it for a clear demonstration. And in the end, you will be able to build your own machine learning system.


So, these were the books I would like to recommend you to increase your arsenal in Artificial Intelligence and if you think I missed something, then don’t hesitate to drop down your valuable suggestions below.