Despite the passage of many data security laws, data breaches are increasing at a record pace. In this book Daniel Solove and Woodrow Hartzog argue that the law fails because, ironically, it focuses too much on the breach itself. Drawing insights from many fascinating stories about data breaches, the authors show how major breaches could have been prevented or mitigated through a different approach to data security rules.
<ASIN: 0190940557>
Author: Daniel J. Solove and Woodrow Hartzog Publisher: Oxford University Press Date: March 2022 Pages: 256 ISBN: 9780190940553 Print: 0190940557 Kindle: B09WF4288D Audience: General interest Level: Introductory/Intermediate Category: Data Science and Security
For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.
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Deep Learning (No Starch Press)
Author: Andrew Glassner Publisher: No Starch Press Date: July 2021 Pages: 750 ISBN: 978-1718500723 Print: 1718500726 Kindle: B085BVWXNS Audience: Developers interested in deep learning Rating: Mike James Reviewer: 5 A book on deep learning wtihout an equation in sight?
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Math for Programmers (Manning)
Author: Paul Orland Publisher: Manning Publications Date: January 2021 Pages: 688 ISBN: 978-1617295355 Print: 1617295353 Audience: Python developers interested in math Rating: 4 Reviewer: Mike James Of course you need to learn math, don't you?
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