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7 Top Books on Artificial Intelligence and Machine Learning
Blog Feature

By: Mike Kaput

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July 6th, 2021

7 Top Books on Artificial Intelligence and Machine Learning

Editor's Note: Scroll down to the bottom of this post for an important editorial note about this content.

What are the best books about artificial intelligence available today?

Artificial intelligence is a complex and fascinating subject that is changing business as usual. To learn more about how artificial intelligence is changing the world, check out these seven books on the subject.

1. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

Author: Pedro Domingos

Why you should read it: Pedro Domingos is a professor at the University of Washington, and his book The Master Algorithm provides a clear overview of the field of machine learning. It's a great place to start if you want to learn about the evolution of artificial intelligence.

Key takeaway: The Master Algorithm explains how you can apply machine learning to various fields, including robotics and medicine.

2. How to Create a Mind: The Secret of Human Thought Revealed

Author: Ray Kurzweil

Why you should read it: Ray Kurzweil is one of the most prominent inventors in artificial intelligence, and he is quite optimistic about the future of AI. In his book How to Create a Mind, he explains how the brain works and how we can recreate it on a computer.

Key takeaway: Ray Kurzweil predicts that by 2029, a $1,000 computer will have the same power as the human brain.

3. Superintelligence: Paths, Dangers, Strategies

Author: Nick Bostrom

Why you should read it: Nick Bostrom is a philosopher at the University of Oxford, and in Superintelligence, he explores the dangers of artificial intelligence. He argues that if AI becomes more intelligent than humans, it will be difficult to control.

Key takeaway: Although most experts agree that we need to be vigilant about the risks of artificial intelligence, some of the most prominent AI researchers disagree with Nick Bostrom's conclusions.

4. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies

Author: Erik Brynjolfsson & Andrew McAfee

Why you should read it: Erik Brynjolfsson and Andrew McAfee, both professors at MIT, were early advocates of the idea that AI would transform business. In The Second Machine Age, they make the case that we are entering a new era of technological progress.

Key takeaway: The Second Machine Age describes how technology has been improving exponentially since the Industrial Revolution. It offers some insight into how AI will change business in the future.

5. Homo Deus: A Brief History of Tomorrow

Author: Yuval Noah Harari

Why you should read it: Yuval Noah Harari is a historian at the Hebrew University of Jerusalem, and in Homo Deus, he explores the future of humanity. He argues that artificial intelligence will change the world as much as fire, agriculture, and writing did.

Key takeaway: Harari believes that artificial intelligence will make inequality even worse, and he warns that it could lead to major political upheavals.

6. Deep Learning: The Revolutionary Approach to Artificial Intelligence

Author: Ian Goodfellow, Yoshua Bengio, and Aaron Courville

Why you should read it: Deep learning is one of the most promising approaches to artificial intelligence, and this book explains the basics of the field. You'll learn how deep learning systems work, how to design them, and how to make them work well.

Key takeaway: Deep Learning explains how to apply deep learning to various fields, including computer vision and speech recognition.

7. What to Think About Machines That Think

Author: James Martin

Why you should read it: James Martin is a software engineer and an expert in artificial intelligence, and in What to Think About Machines That Think, he offers an overview of the field. You'll learn about the history of AI and how it will affect business, society, and the economy.

Key takeaway: What to Think About Machines That Think explains how you can use AI to solve big global problems, from climate change to cancer.

What's your favorite book about artificial intelligence? Let us know in the comments.

This Post Was Written by a Machine

In the post above, every single line was written by artificial intelligence except for Editor's Note, the first sentence, and the last sentence.

Here at Marketing AI Institute, we regularly test and pilot AI technology to accelerate revenue and reduce costs in our own marketing.

Recently, we tested a tool called HyperWrite that uses AI to aid writing.

The tool uses natural language generation (NLG) to write content. 

The machine came up with all the suggested books, filled in the details about each book, and generated every piece of language in the post.

The machine even came up with the format you see above, where it summarized "why you should read it" and a "key takeaway" from each book. These were not prompts given to it by our team.

All our team did was give HyperWrite a prompt and a suggested title for a post about top AI books. We also approved each of HyperWrite's language suggestions. After the post was written, we ran it through Grammarly to standardize grammar. 

The entire process took about 15 minutes to go from prompt to a completed draft of about 650 words.  

The technology behind HyperWrite exceeded our expectations. We intentionally gave the system a very narrow, highly constrained type of list post, so it's unclear yet if it can write more complex content. Our next test will be to give the tool a more complicated, open-ended prompt.

But, in some ways, it doesn't matter if this is all the machine can do. All that matters is that the machine can accelerate content creation.

It doesn't matter if humans are still heavily involved in the writing process. It just matters that the technology enables a smarter way to do content marketing at an affordable price (we wrote this with HyperWrite's $35 per month plan).

We suspect this is just the tip of the iceberg in AI-powered content creation. HyperWrite makes clear that language models have made major strides over the last few years. When we started Marketing AI Institute in 2016, it wasn't possible to produce the post you just read. 

That should be a wakeup call to content marketers everywhere...

AI is starting to deliver on the hype—and our business is about to change as a result.

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About Mike Kaput

Mike Kaput is Chief Content Officer at Marketing AI Institute and a senior consultant at PR 20/20. He writes and speaks about how marketers can understand, adopt, and pilot artificial intelligence to increase revenue and reduce costs. Full bio.

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