AIQ: How Artificial Intelligence Works and How We Can Harness Its Power for a Better World - Softcover

Polson, Nick

Softcover

ISBN 10: 1250209013 ISBN 13: 9781250209016

Publisher: Griffin, 2019

Synopsis

Two leading data scientists offer an up-close and user-friendly look at artificial intelligence: what it is, how it works, where it came from, and how to harness its power for a better world.

A revolution of intelligent machines, from self-driving cars to smart digital assistants, is now remaking our world, just as the Industrial Revolution remade the world of the 19th century. AI is used to diagnose and treat cancer, detect fraud, save energy, and make new discoveries. AI is not some science-fiction droid from the future. It's right here, right now, and it's changing our lives at lightning-fast speed. Many of these changes offer great promise, including freedom from drudgery, safer workplaces, better health care, and fewer language barriers. But others elicit worry--whether about jobs, data privacy, or the prospect of machines making biased decisions with no accountability.

In AIQ, authors Nick Polson and James Scott, both experts in the field, show us how to make sense of these accelerating trends. This book is based on a simple premise: if you want to understand the modern world, you must learn about how these intelligent machines really work. AIQ will teach you how to speak the mathematical language of AI--but in an approachable manner, one anchored in storytelling rather than equations. Along the way, you will meet a fascinating cast of historical characters who have a lot to say about data, probability, and better thinking--and whose tried-and-true ideas are powering the AI revolution, as they play out in the modern age of big data. Finally, AIQ explains how these technologies can help you to overcome some of your own built-in cognitive weaknesses, giving you a chance to lead a life of greater happiness, efficiency, and fulfillment.

About this title

About the Authors

NICK POLSON is Professor of Econometrics and Statistics at the Chicago Booth School of Business. He does research on machine intelligence and deep learning, and is a frequent speaker at events. Polson lives in Chicago.

JAMES SCOTT is Associate Professor of Statistics at the University of Texas at Austin. He is a statistician, data scientist, and has worked with clients across many industries to help them understand the power of data. Scott lives in Austin with his wife.

Edition details

• Publisher: Griffin
• Publication date: 2019
• Language: English
• ISBN 10: 1250209013
• ISBN 13: 9781250209016
• Binding: Paperback
• Number of pages: 271