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    A Human's Guide to Machine Intelligence: How Algorithms Are Shaping Our Lives and How We Can Stay in Control

    A Human's Guide to Machine Intelligence by Hosanagar, Kartik;

    How Algorithms Are Shaping Our Lives and How We Can Stay in Control

      • GET 13% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 24.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        12 647 Ft (12 045 Ft + 5% VAT)
      • Discount 13% (cc. 1 644 Ft off)
      • Discounted price 11 003 Ft (10 479 Ft + 5% VAT)

    12 647 Ft

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    Availability

    Temporarily out of stock.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher Viking Press USA
    • Date of Publication 14 March 2019

    • ISBN 9780525560883
    • Binding Hardback
    • No. of pages272 pages
    • Size 229x152 mm
    • Weight 454 g
    • Language English
    • Illustrations 6
    • 0

    Categories

    Short description:

    A tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us.

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    Long description:

    Through the technology embedded in almost every major tech platform and web-enabled device, algorithms make a staggering number of everyday decisions for us. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators.

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