The Fight for Privacy (W. W. Norton & Company)
Friday, 04 November 2022

In this book, subtitled "Protecting Dignity, Identity, and Love in the Digital Age", Danielle Citron argues that we need to protect what she calls intimate privacy. Citron looks at the way personal information becomes valuable data, to corporations know exactly when to flash that ad for a new drug or pregnancy test, or used by social and political forces to manipulate what you think and who you trust, leveraging sensitive secrets and deepfake videos to ruin or silence opponents.

<ASIN:178474512X>

Drawing on in-depth interviews with victims, activists, and advocates, Citron brings this headline issue home for readers by weaving together stories about the ways that corporate and individual violators exploit privacy loopholes, and what we need to do about it.

Author: Danielle Keats Citron
Publisher: W. W. Norton & Company
Date: October 2022
Pages: 304
ISBN: 978-1784745127
Print: 178474512X
Kindle: B09TQ3JFJ4
Audience: General
Level: Introductory/Intermediate
Category: Data Science

fight

 

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Machine Learning For Dummies, 2e (Wiley)

Author: John Paul Mueller
Publisher: For Dummies
Date: January 2021
Pages: 464
ISBN: 978-1119724018
Print: 1119724015
Kindle: B08SZHJGJW
Audience: General, but not too dumb
Rating: 4
Reviewer: Mike James
Dummies probably need machine learning to cope...



Foundational Python For Data Science

Author: Kennedy Behrman
Publisher: Pearson
Pages:256
ISBN: 978-0136624356
Print: 0136624359
Kindle: B095Y6G2QV
Audience: Data scientists
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to be a simple introduction to Python, specifically how to use it to work with data.


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