Data Science Ethics (Oxford University Press)
Friday, 15 July 2022

This book looks at data science ethics - all about what is right and wrong when conducting data science. David Martens looks at the ethical considerations that come from data science, and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques.

<ASIN:0192847279>

Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data.

Author: David Martens
Publisher: Oxford University Press
Date: June 2022
Pages: 272
ISBN: 978-0192847270
Print:0192847279
Audience: General
Level: Intermediate
Category: Data Science

dataethic

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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Microsoft Azure For Dummies, 2nd Edition

Author: Jack A. Hyman
Publisher: For Dummies
Pages: 416
ISBN: 978-1119898061
Print:1119898064
Kindle: B0BNWG1HYK
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Rating: 1 or 4.5 (see review)
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Author: Benjamin Nevarez
Publisher: Packt Publishing Pages: 446
ISBN: 9781803242620
Print: 1803242620
Kindle: B0B42SVBFY
Audience: Intermediate to advanced DBAs and developers
Rating: 4.7
Reviewer: Ian Stirk 

This book aims to give you the tools and knowledge to get peak performance from your que [ ... ]


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