Artificial Intelligence has brought new lease of life into the modern society where everything we see today has, in some way or the other, dependent on Artificial Intelligence and Machine Learning. From the way you shop online to how you use your connected devices in the car, everything is powered by certain level of Machine Learning and AI capabilities.

In this article, we have listed down top must-read books and resources on AI and Machine Learning that can help you move up the ranks in the technology industry, and help you understand there is a learning realm.

#1  Machine Learning for Beginners: A Plain English Introduction to Artificial Intelligence and Machine Learning, by John Slavio

This book can prove to be a launch pad for all IT and Data analysts enrolled with Artificial Intelligence Online Course. Machine Learning for beginners provide basic insights on different applications and techniques for supervised and unsupervised learning, in addition to their relations with Artificial Intelligence.

#2 Artificial Intelligence: A Beginner’s Guide (Beginner’s Guides), by Waly Whitby

Learners in AI and machine learning can embark on a thrilling journey by reading this book. A powerful repository on how AI and machine learning works with robots, connected devices, cognitive science and so on, Blay Whitby’s work separates the distinction between “What is AI?” and, “What is Not AI?”

#3 Applied Artificial Intelligence: A Handbook For Business Leaders, by Mariya Yao, Adelyn Zhou and Marlene Jia

A combined work of three research specialists in the field of AI, this book is a practical guide on applied AI and machine learning technology. It covers the entire landscape of recent technology advancements, providing highlights on the essence of AI, building strategy for adoption and delivering on enterprise functions. In 200-odd pages, this book is your essential playbook to learn and promote AI for business and life.

#4 Introduction to Artificial Intelligence and Expert Systems, by Dan W. Patterson

First published in 1990, readers can expect this book to be a holy book on everything you want to learn about AI, intelligent smart systems and computer networking. It has been recognized among the best books in the category of Computing, Digital and Internet Trends and AI Engineering.

#5 Programming Collective Intelligence: Building Smart Web 2.0 Applications, by Toby Segaran

Finally, we conclude with the most freewheeling textbook for data scientist. Not necessarily a fun-read, PCI (as it is known among analysts) is highly recommended to fresher and experienced analysts alike. Authored much ahead before AI trend caught up with the industry, PCI covers unique topics related to website analytics, Data analytics, collaborative filtering techniques, Search Engine features, Bayesian filtering, Data Mining, and Support vector machines.

In addition to reading these top-recommended books during Artificial Intelligence Online Course, you can also access hundreds of case studies, whitepapers, webinars and email newsletters provided by the leading Big Data, AI and Machine Learning development companies. With powerful knowledge source at your fingertips, learning AI and Machine Learning has become easier than ever before.