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Human-Centered Data Science: An Introduction

By: By: Publication details: 2022: MIT Press, Cambridge, MassachusettsDescription: 185ISBN:
  • 9780262543217
Subject(s): DDC classification:
  • 005.7 ARA
Summary: 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.
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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.

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