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        Computers / Data Science / Data Analytics

        Showing results 1-9 of 9

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        ‹1›
        Data Action

        Data Action

        Using Data for Public Good

        by Sarah Williams

        ISBN: 9780262545310

        Publisher: The MIT Press

        Pub Date: September 20, 2022

        How to use data as a tool for empowerment rather than oppression.
        Human-Centered Data Science

        Human-Centered Data Science

        An Introduction

        by Cecilia Aragon, Shion Guha, Marina Kogan, Michael Muller and Gina Neff

        ISBN: 9780262543217

        Publisher: The MIT Press

        Pub Date: March 1, 2022

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

        Discriminating Data

        Correlation, Neighborhoods, and the New Politics of Recognition

        by Wendy Hui Kyong Chun

        ISBN: 9780262046220

        Publisher: The MIT Press

        Pub Date: November 2, 2021

        How big data and machine learning encode discrimination and create agitated clusters of comforting rage.
        People Count

        People Count

        Contact-Tracing Apps and Public Health

        by Susan Landau

        ISBN: 9780262045711

        Publisher: The MIT Press

        Pub Date: April 6, 2021

        An introduction to the technology of contact tracing and its usefulness for public health, considering questions of efficacy, equity, and privacy.
        Machine Learning for Data Streams

        Machine Learning for Data Streams

        with Practical Examples in MOA

        by Albert Bifet, Ricard Gavaldà, Geoffrey Holmes and Bernhard Pfahringer

        ISBN: 9780262037792

        Publisher: The MIT Press

        Pub Date: March 2, 2018

        A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.
        Big Data, Little Data, No Data

        Big Data, Little Data, No Data

        Scholarship in the Networked World

        by Christine L. Borgman

        ISBN: 9780262529914

        Publisher: The MIT Press

        Pub Date: February 3, 2017

        An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities.
        Big Data Is Not a Monolith

        Big Data Is Not a Monolith

        Edited by Cassidy R. Sugimoto, Hamid R. Ekbia and Michael Mattioli

        ISBN: 9780262529488

        Publisher: The MIT Press

        Pub Date: October 21, 2016

        Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics.
        Reality Mining

        Reality Mining

        Using Big Data to Engineer a Better World

        by Nathan Eagle and Kate Greene

        ISBN: 9780262529839

        Publisher: The MIT Press

        Pub Date: October 7, 2016

        A look at how Big Data can be put to positive use, from helping users break bad habits to tracking the global spread of disease.
        Crowdsourced Health

        Crowdsourced Health

        How What You Do on the Internet Will Improve Medicine

        by Elad Yom-Tov

        ISBN: 9780262034500

        Publisher: The MIT Press

        Pub Date: March 18, 2016

        How data from our health-related Internet searches can lead to discoveries about diseases and symptoms and help patients deal with diagnoses.
        ‹1›

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