Artificial Intelligence has become the biggest buzzword in recent times. With the use of this new technology, our lives are transforming for a better tomorrow. So, it won’t be wrong to say that understanding the concepts of AI is the need of the hour.
It is in fact much needed to make better business processes and advancements too. However, with so many concepts ringing around, it is very easy to get tangled in the hustle and bustle of the topic. So, how do you keep yourself updated with the latest concepts on Artificial Intelligence? Where can you find the best resources to understand the subject better?
Here is a list of top 10 AI books that will help you understand the AI revolution and provide a comprehensive view of this incredible technology.
Best Books on AI You Need to Read Today
These are some of the best books on Artificial Intelligence that will guide you about the impact of AI on our world and get ready for an AI-powered future.
Life 3.0: Being Human in the Age of Artificial Intelligence
This is an eye-opening book from Max Tegmark, an MIT professor, where he talks about the latest and groundbreaking innovations in Artificial Intelligence and how it will affect our jobs, society, war, crime and everything else. Tegmark also describes the huge potential of AI and how things are changing rapidly with its rise.
This is a favorite of Bill Gates, who recommends this book by saying, “Anyone who wants to discuss how artificial intelligence is shaping the world should read this book.
Tegmark, a physicist by training, takes a scientific approach. He doesn’t spend a lot of time saying we should do this or that, and as a result, Life 3.0 offers a terrific baseline of knowledge on the subject.”
Life 3.0 empowers you with all the important viewpoints of Artificial Intelligence making you comfortable in every discussion related to AI.
Hands-On Machine Learning with Scikit-Learn and TensorFlow
This is an amazing guide for the absolute beginners of Machine Learning. It describes the two production ready Python frameworks – Scikit-Learn and TensorFlow. However, you will need some prior experience in Python programming to understand the concepts.
Scikit-Learn is easy to use a framework that implements many machine learning algorithms efficiently, which makes it a great point to get started with machine learning.
The other framework discussed in this book is TensorFlow. This is a more complex library for distributed numerical computation. This makes it ideal to train and run very large neural networks efficiently.
In this book, Aurélien Géron, a former Googler and a Machine Learning consultant has given the concepts, intuitions, and the tools you need to actually implement programs capable of learning from data. From the simplest Linear Regression to some of the Deep learning techniques, he has covered a large number of concepts in this book.
The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity
In The Fourth Age, you can discover some exciting perceptions about the age of Artificial Intelligence. This book is written by Byron Reese, CEO, and publisher of the technology research company Gigaom, and a tech maven.
This is the ideal book for anyone interested to know about the future of humanity with AI. Reese has used 100,000 years of human history, where technology has reshaped humanity thrice.
First, 100,000 years ago, when the fire was controlled leading to language; second, 10,000 years ago, when agriculture was emerged leading to cities and conflicts; and third, 5,000 years ago when wheels and writing originated, leading to the states and nations.
This is the fourth stage when humanity is expected another change with AI and robotics.
The author discusses the future advances in robotics, computing, and the associated technologies and explores how this will be the next stage of humanity’s evolution. He has also explained about the revolution of a number of disruptive technologies and their world changing consequences.
Deep Learning with Python
This book on Deep Learning introduces the readers to the concept using Python language and powerful Keras library. Keras creator and Google AI researcher François Chollet has given some great explanations and practical examples in this book.
As a reader, you can learn how to apply deep learning concepts in a variety of Artificial intelligence problems with speech and image recognition, text classification, text-to-speech recognition and more.
You will also explore the concepts of computer vision applications. Generative models and natural language processing are also explained for a great understanding.
Superintelligence: Paths, Dangers, Strategies
This book is written by Nick Bostrom, an Oxford University professor in philosophy and founding Director of the Future of Humanity Institute.
He debates on what will happen if machines surpass humans in general intelligence and tries to find out whether it will save or destroy humans on earth.
Superintelligence is when the machine brains surpass human brains in general intelligence.
And, this new superintelligence can become extremely powerful and can go beyond our control.
Due to its popularity, this book on artificial intelligence was translated into several languages.
AI Superpowers: China, Silicon Valley, and the New World Order
A New York Times, USA Today and Wall Street Journal Bestseller, this book is written by Dr. Kai-Fu Lee, one of the most respected AI experts in the world.
AI Superpowers reveals how dramatic changes due to exceptional developments in Artificial Intelligence are expected to occur at an unexpected pace.
“Kai-Fu Lee’s smart analysis on human-AI coexistence is clear-eyed and a must-read. We must look deep within ourselves for the values and wisdom to guide AI’s development.” —Satya Nadella, CEO, Microsoft
Many experts have already predicted that Artificial Intelligence will have a disastrous impact on blue-collar jobs, but in this book, Lee has shown concern on the strong impact of American and Chinese AI on white-collar jobs as well.
Machine Learning for Absolute Beginners
Machine Learning for Absolute Beginners is written while keeping absolute beginners in mind. Anybody even with zero coding experience can understand the concepts in this book easily.
Clear explanations and visual examples are added to make the core algorithms easy to follow for all. Even, the pros and cons of every specific machine learning algorithm are explained here.
From Regression Analysis to Data Reduction and Principal Component Analysis, you will learn all the concepts of machine learning in this step-by-step guide.
The author has also listed the job titles and salary ranges for jobs related to data science and machine learning fields.
Artificial Intelligence: A Modern Approach
Written by Peter Norvig and Stuart Russell, this is an accessible and standard book for students of artificial intelligence.
Considered to be one of the best books on Artificial Intelligence, this book offers a detailed understanding of the concepts and practices.
Filled with every possible concept on AI, this book is equally approachable to amateurs and experts.
And, that is the reason over 1200 universities have been using this Artificial Intelligence book for educating the subject.
This is a comprehensive and up to date book which includes both formal and informal explanations on almost all the topics discussed.
Machine Learning: Beginner’s Guide to Machine Learning, Data Mining, Big Data, Artificial Intelligence and Neural Networks
Written by Lilly Trinity, this book will take you step by step into the world of machine learning.
Machine Learning is designed for absolute beginners with the concepts of artificial intelligence, machine learning and big data in a simple and interactive way.
It is written in simple English language and you don’t need any coding knowledge to understand the concepts.
Along with AI and ML, this book will also give you a great understanding of Data Science, and Neural networks.
If you want to know how the tech giants like Amazon, Netflix, Facebook and more are using machine learning, then this one is a great option.
How to Create a Mind: The Secret of Human Thought Revealed
How to Create a Mind is written by Ray Kurzweil, author of multiple bestsellers and a member of the National Inventors Hall of Fame.
In this book, he has explained the unlimited potential of reverse-engineering the human brain and how that knowledge can be used to create even more intelligent machines.
The author has given some interesting insights on the future of artificial intelligence and the journey of the brain through that.
He has also analyzed the emotional and moral intelligence along with the origins of consciousness and imaginations.
Conclusion
Artificial Intelligence technologies are utilized on an everyday basis in our day-to-day life. So, it makes sense to explore and learn more about this new technology. Whether you’re a student, a business leader or simply an AI enthusiast, these top 10 books on Artificial Intelligence will help you gain some significant knowledge on the subject.
