Practical Fairness: Achieving Fair and Secure Data Models
(Sprache: Englisch)
Fairness is becoming a paramount consideration for data scientists. 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.
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Fairness is becoming a paramount consideration for data scientists. 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.
Autoren-Porträt von Aileen Nielsen
Aileen Nielsen is a software engineer who has analyzed data in a variety of settings from a physics laboratory to a political campaign to a healthcare startup. She also has a law degree and splits her time between a deep learning startup and research as a Fellow in Law and Technology at ETH Zurich. She has given talks around the world on fairness issues in data and modeling.
Bibliographische Angaben
- Autor: Aileen Nielsen
- 346 Seiten, Maße: 17,7 x 23,3 cm, Taschenbuch, Englisch
- Verlag: O'Reilly Media
- ISBN-10: 1492075736
- ISBN-13: 9781492075738
- Erscheinungsdatum: 22.12.2020
Sprache:
Englisch
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