Human-Centered Data Science: An Introduction by

Human-Centered Data Science: An Introduction

Page: 200
Format: pdf, ePub, mobi, fb2
ISBN: 9780262543217
Publisher: MIT Press
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Free google book downloader Human-Centered Data Science: An Introduction 9780262543217 by  (English literature)

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 making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.

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        COUPON: RENT Human-Centered Data Science An Introduction 1st edition (9780262543217) and save up to 80% on textbook rentals and 90% on used textbooks.Format: Paperback/softbackDimensions: 6.9 x 9.9 x 0.5 inchesPublisher: MIT Press (3/1/2022)Weight: < 1 lb
        Human-Centered Data Science - Penguin Random House
        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 - Penguin Random House
        Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.

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