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Practical Fairness: Achieving Fair and Secure Data Models-P2P

Fairness is becoming a paramount consideration for data scientists. Mounting evidence indicates that the widespread deployment of machine learning and AI in business and government is reproducing the same biases we’re trying to fight in the real world. But what does fairness mean when it comes to code? This practical book covers basic concerns related to data security and privacy to help data and AI professionals use code that’s fair and free of bias.

Practical Fairness: Achieving Fair and Secure Data Models-P2P
English | 2020 | ISBN-13 : 978-1492075738 | 326 Pages | EPUB | 3.88 MB
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  1. Matbb
    December 2nd, 2020 | 19:13

    Practical Fairness: Achieving Fair and Secure Data Models-P2P

    https://katfile.com/c1m2s79gpw7i/Practical_Fairness.epub.html

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