Name: Responsible Data Science (en Inglés)
Price: 39390.00 CLP
Availability: InStock
Author: Bruce, Peter C. ; Fleming, Grant
ISBN: 9781119741756

portada Responsible Data Science (en Inglés)

Formato

Libro Físico

Autor

Peter C. Bruce

Grant Fleming

Editorial

Wiley

Año

2021

Idioma

Inglés

N° páginas

304

Encuadernación

Tapa Blanda

Dimensiones

23.1 x 18.5 x 1.5 cm

Peso

0.54 kg.

ISBN13

9781119741756

N° edición

Categorías

Data mining: minería de datos

Responsible Data Science (en Inglés)

Peter C. Bruce (Autor) · Grant Fleming (Autor) · Wiley · Tapa Blanda

Libro Físico

$ 39.390

$ 65.650

Ahorras: $ 26.260

40% descuento

Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Responsible Data Science (en Inglés)"

Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of "Black box" algorithms that are difficult or impossible to understand and explain, even for their developers, is a primary source of these unanticipated harms, making modern techniques and methods for manipulating large data sets seem sinister, even dangerous. When put in the hands of authoritarian governments, these algorithms have enabled suppression of political dissent and persecution of minorities. To prevent these harms, data scientists everywhere must come to understand how the algorithms that they build and deploy may harm certain groups or be unfair. Responsible Data Science delivers a comprehensive, practical treatment of how to implement data science solutions in an even-handed and ethical manner that minimizes the risk of undue harm to vulnerable members of society. Both data science practitioners and managers of analytics teams will learn how to: Improve model transparency, even for black box models Diagnose bias and unfairness within models using multiple metrics Audit projects to ensure fairness and minimize the possibility of unintended harm Perfect for data science practitioners, Responsible Data Science will also earn a spot on the bookshelves of technically inclined managers, software developers, and statisticians.