Aragon, Cecilia

Human-Centered Data Science

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ISBN 13:: 9780262543217
author:: Aragon, Cecilia
format:: Paperback / softback
publisher:: MIT Press
language:: English
Publication Year:: 2022
Pages:: 200
Dimensions:: 29 x 21.4 x 1.2 centimetres (0.3
Genre:: Computers, Server & Database, Data Mining,
Condition:: New
Availability:: Item usually sent within 20 working days

£36.25

Current Stock: 5

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Description

Description

Human-Centered Data Science An Introduction by Cecilia Aragon, Shion Guha, Marina Kogan, Michael Muller and Gina Neff is an essential guide to addressing bias and inequality in data science. This interdisciplinary field draws from human-computer interaction, social science, statistics, and computational techniques to provide a comprehensive overview of best practices for data analysis. The book offers practical guidelines and real-world case studies to help readers apply human-centered approaches to data science problems. It explains how data scientists' choices are involved at every stage of the data science workflow and shows how a human-centered approach can enhance each one, making the process more transparent and socially aware. By incorporating tools from social science into data science practices, collaboration methods, and data storytelling through visualization, this book helps practitioners build rigorous and ethical algorithms. By exploring these key aspects, Human-Centered Data Science An Introduction provides a valuable resource for anyone working in data science, helping them to design projects that use cutting-edge computational tools and address social concerns.

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