Top 5 Best Artificial Intelligence Books to Read Announced By Dot Com Magazine

Top 5 Best Artificial Intelligence Books to Read

One of the most compelling forms of new technology that keeps evolving is artificial intelligence. The idea of something non-human having a mind of its own has always been intriguing, fascinating and a little bit frightening too. If you are looking to learn more about the world of modern Artificial Intelligence, you need to check out the five books that DotCom Magazine have highlighted in the following post.

Artificial Intelligence Books

Deep Learning (Adaptive Computation and Machine Learning Series) by Ian Goodfellow

This book looks at the subject from a conceptual and mathematical background, looking at the related concepts of machine learning, numerical computation, information theory, probability theory and linear algebra. It outlines the deep learning practices and techniques used in various industries, including the likes of practical methodology, sequence modelling, convolutional networks, optimization algorithms, regularization and deep feedforward networks. It also surveys applications including video games, bioinformatics, online recommendation systems, computer vision, speech recognition and natural language processing.

Machine Learning by Tom M. Mitchell


Machine Learning, as its title suggests, discusses machine learning, which involves studying algorithms that enable computers to improve themselves by experience. It is used as a support resource for introductory level graduate courses and upper level undergraduate machine learning courses.

Introduction to Artificial Intelligence by Phillip C Jackson

This is a suitable introduction into the science involving computers and their reasoning processes and its research covers results and approaches from the last 20 years. It’s a book that is very easy to read and provides deep coverage of robot systems, heuristic search theory, automated understanding of natural languages, game playing models and representation, problem-solving methods, as well as specific accomplishments in artificial intelligence.

The Emotion Machine: Common-sense Thinking, Artificial Intelligence and the Future of the Human Mind by Marvin Minsky

Innovative Research

This is a truly mind-expanding book that sees Marvin Minsky, a scientific pioneer continues with his innovative research. In it he offers fascinating and new models that explain how our minds work and he argues feelings, intuitions and emotions are not specific thins, but alternative ways of thinking.

Artificial Intelligence: A Modern Approach by Stuart Russel and Peter Norvig

This is one of the most expansive and detailed, up-to-date books covering the concept, theory and actual practice of AI. It is used often by many university lecturers and students in their study of artificial intelligence. If you are looking for a book that covers all you need to know about Artificial Intelligence and all thatís connected to it, this is probably the best book to invest in and read. It may not always be an easy read, but it is one that is satisfying.

Actual Practice

Although many of these books are probably a bit detailed and comprehensive for the casual reader, they are the ones we deemed to be the most pertinent to the field. Artificial Intelligence in itself is not a hard concept to understand, but the who theory behind it and how it is actually brought to fruition, can be.