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Human-Centered Data Science : An Introduction, Paperback by Aragon, Cecilia; ...

Description: Human-Centered Data Science : An Introduction, Paperback by Aragon, Cecilia; Guha, Shion; Kogan, Marina; Muller, Michael; Neff, Gina, ISBN 0262543214, ISBN-13 9780262543217, Like New Used, Free shipping in the US 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. Th 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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Human-Centered Data Science : An Introduction, Paperback by Aragon, Cecilia; ...

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Book Title: Human-Centered Data Science : An Introduction

Number of Pages: 200 Pages

Language: English

Publication Name: Human-Centered Data Science : an Introduction

Publisher: MIT Press

Subject: General, Data Processing, Databases / Data Mining

Publication Year: 2022

Item Height: 0.6 in

Type: Textbook

Item Weight: 14.7 Oz

Subject Area: Mathematics, Computers

Item Length: 9.9 in

Author: Shion Guha, Gina Neff, Marina Kogan, Cecilia Aragon, Michael Muller

Item Width: 7 in

Format: Trade Paperback

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