Synopsis
'There comes a time in the life of a subject when someone steps up and writes the book about it. AIQ explores the fascinating history of the ideas that drive this technology of the future and demystifies the core concepts behind it; the result is a positive and entertaining look at the great potential unlocked by marrying human creativity with powerful machines.'Steven D. Levitt, co-author of Freakonomics Two leading data scientists offer an up-close and user-friendly look at artificial 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. Doctors use AI to diagnose and treat cancer. Banks use it to detect fraud. Power companies use it to save energy. Scientists use it to 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 if you want to understand the modern world, then you must learn a bit about how these intelligent machines really work. AIQ will teach you how to speak the mathematical language of AI - but in a friendly and 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 the Author
Nick Polson (Author) Nick Polson is Professor of Econometrics and Statistics at the Chicago Booth School of Business. Nick is a Bayesian statistician involved in research in machine intelligence, deep learning, and computational methods for Bayesian inference. He has developed a number of new algorithms and applied them across a variety of fields, including finance, economics, transportation and applied statistics. Nick was born in England, studied maths at Worcester College, Oxford; and obtained a PhD in Bayesian Statistics. He regularly speaks to large audiences in the US, UK and the rest of Europe. James Scott (Author) James Scott is Associate Professor of Statistics at the University of Texas at Austin. James is a statistician and data scientist who studies Bayesian inference and computational methods for big data. His has collaborated with scientists in a wide variety of fields, including health care, nuclear security, linguistics, political science, finance, management, infectious disease, astronomy, neuroscience, transportation and molecular biology. He has also worked with clients across many different industries, from tech startups to large multinational firms. James lives in Austin, Texas with his wife, Abigail. His academic research has been featured in The New York Times, the Washington Post, ABC, NBC, Fox, the BBC UK, BBC World News, Radio 4, The Guardian and many other prominent media outlets.
"About this title" may belong to another edition of this title.
