Description

Book Synopsis
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.

Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods.
 
The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by mak

HumanCentered Data Science An Introduction

    Product form

    £33.00

    Includes FREE delivery

    Order before 4pm today for delivery by Thu 9 Jul 2026.

    A Paperback by Cecilia Aragon, Shion Guha

    10 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of HumanCentered Data Science An Introduction by Cecilia Aragon

      Publisher: MIT Press
      Publication Date: 3/1/2022 12:00:00 AM
      ISBN13: 9780262543217, 978-0262543217
      ISBN10: 0262543214

      Description

      Book Synopsis
      Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.

      Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods.
       
      The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by mak

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account