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.

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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Functional Design (Addison-Wesley)

Author: Robert C. Martin
Publisher: Addison-Wesley
Date: September 2023
Pages: 384
ISBN: 978-0138176396
Print: 0138176396
Kindle: B0CGHQKGYG
Audience: General
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to explain the principles, patterns and practices of functional design, and why functional prog [ ... ]



100 Go Mistakes and How to Avoid Them

Author: Teiva Harsanyi
Publisher: Manning
Date: October 2022
Pages: 384
ISBN: 978-1617299599
Print: 1617299596
Kindle: B0BBHQD8BQ
Audience: Go Developers
Rating: 3
Reviewer: Mike James
100 mistakes is a lot! 
Is the fault Go or the programmer?


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