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Computers / Data Science / Data Analytics

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Data Action

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

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

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

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

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

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

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

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

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.
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