Description

Book Synopsis

____________________

What is AIQ? How does it work? Most importantly, how can it help us?

Two leading data scientists offer an up-close and user-friendly look at artificial intelligence and how to harness its power for a better world.

'A positive and entertaining look at the great potential unlocked by marrying human creativity with powerful machines.'
Steven D. Levitt, co-author of Freakonomics
____________________

Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines, from smart phones to talking robots to self-driving cars, are remaking the world in the twenty first century in the same way that the Industrial Revolution remade the world in the nineteenth.

AIQ is based on a simple premise: if you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach you that language but in an unconventional way, anchored in stories rather than equations.



Trade Review
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 Levitt, bestselling co-author of Freakonomics
Entertaining and persuasive. The book’s goal is to explain how artificial intelligence delivers its incredible results, and Polson and Scott are like a pair of excitable mechanics lifting up the bonnet of a sports car. This is a passionate book, and it is a model of how to make data science accessible and exciting. -- James McConnachie * The Sunday Times *
Grounding AI in tried-and-true methods makes it seem less alien: Computers are simply faster ways to solve familiar problems. Hence the book’s title, a portmanteau of AI and IQ—the point being that we need both. -- Sam Kean * Wall Street Journal *
In an entertaining primer, two academic data scientists put the case for the defence on artificial intelligence, and show how we can harness its power for a better world. * The Times *
At last, a book on the ideas behind AI and data science by people who really understand data. Cutting through the usual journalistic puff and myths, they clearly explain the underlying ideas behind the way that troughloads of data are being harnessed to build the algorithms that can carry out such extraordinary feats. But they are also clear about the limitations and potential risks of these algorithms, and the need for society to scrutinise and even regulate their use. A real page-turner, with fine stories and just enough detail: I learned a lot. -- David Spiegelhalter, Winton Professor of the Public Understanding of Risk, University of Cambridge

AIQ: How artificial intelligence works and how we

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RRP £14.99 – you save £1.50 (10%)

Order before 4pm tomorrow for delivery by Sat 3 Jan 2026.

A Paperback / softback by Nick Polson, James Scott

1 in stock


    View other formats and editions of AIQ: How artificial intelligence works and how we by Nick Polson

    Publisher: Transworld Publishers Ltd
    Publication Date: 02/05/2019
    ISBN13: 9781784163372, 978-1784163372
    ISBN10: 1784163376

    Description

    Book Synopsis

    ____________________

    What is AIQ? How does it work? Most importantly, how can it help us?

    Two leading data scientists offer an up-close and user-friendly look at artificial intelligence and how to harness its power for a better world.

    'A positive and entertaining look at the great potential unlocked by marrying human creativity with powerful machines.'
    Steven D. Levitt, co-author of Freakonomics
    ____________________

    Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines, from smart phones to talking robots to self-driving cars, are remaking the world in the twenty first century in the same way that the Industrial Revolution remade the world in the nineteenth.

    AIQ is based on a simple premise: if you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach you that language but in an unconventional way, anchored in stories rather than equations.



    Trade Review
    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 Levitt, bestselling co-author of Freakonomics
    Entertaining and persuasive. The book’s goal is to explain how artificial intelligence delivers its incredible results, and Polson and Scott are like a pair of excitable mechanics lifting up the bonnet of a sports car. This is a passionate book, and it is a model of how to make data science accessible and exciting. -- James McConnachie * The Sunday Times *
    Grounding AI in tried-and-true methods makes it seem less alien: Computers are simply faster ways to solve familiar problems. Hence the book’s title, a portmanteau of AI and IQ—the point being that we need both. -- Sam Kean * Wall Street Journal *
    In an entertaining primer, two academic data scientists put the case for the defence on artificial intelligence, and show how we can harness its power for a better world. * The Times *
    At last, a book on the ideas behind AI and data science by people who really understand data. Cutting through the usual journalistic puff and myths, they clearly explain the underlying ideas behind the way that troughloads of data are being harnessed to build the algorithms that can carry out such extraordinary feats. But they are also clear about the limitations and potential risks of these algorithms, and the need for society to scrutinise and even regulate their use. A real page-turner, with fine stories and just enough detail: I learned a lot. -- David Spiegelhalter, Winton Professor of the Public Understanding of Risk, University of Cambridge

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