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  • The Practice of Crowdsourcing
      • GET 8% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 76.00
      • 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.

        31 521 Ft (30 020 Ft + 5% VAT)
      • Discount 8% (cc. 2 522 Ft off)
      • Discounted price 28 999 Ft (27 618 Ft + 5% VAT)

    31 521 Ft

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    Product details:

    • Publisher Morgan & Claypool Publishers
    • Date of Publication 30 May 2019
    • Number of Volumes Paperback

    • ISBN 9781681735238
    • Binding Paperback
    • No. of pages149 pages
    • Size 235x191 mm
    • Weight 1 g
    • Language English
    • 0

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    Short description:

    Building systems and data processing pipelines that require crowd computing remains difficult. In this book, the authors present practical considerations for designing and implementing tasks that require the use of humans and machines in combination with the goal of producing high-quality labels.

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    Long description:

    Many data-intensive applications that use machine learning or artificial intelligence techniques depend on humans providing the initial dataset, enabling algorithms to process the rest or for other humans to evaluate the performance of such algorithms.

    Not only can labeled data for training and evaluation be collected faster, cheaper, and easier than ever before, but we now see the emergence of hybrid human-machine software that combines computations performed by humans and machines in conjunction. There are, however, real-world practical issues with the adoption of human computation and crowdsourcing. Building systems and data processing pipelines that require crowd computing remains difficult. In this book, we present practical considerations for designing and implementing tasks that require the use of humans and machines in combination with the goal of producing high-quality labels.

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