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Practicing Trustworthy Machine Learning

- Consistent, Transparent, and Fair AI Pipelines

Practicing Trustworthy Machine Learning

- Consistent, Transparent, and Fair AI Pipelines
Tjek vores konkurrenters priser
With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable.
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20 kr
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With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable.
Produktdetaljer
Sprog: Engelsk
Sider: 350
ISBN-13: 9781098120276
Indbinding: Paperback
Udgave:
ISBN-10: 1098120272
Kategori: Machine learning
Udg. Dato: 13 jan 2023
Længde: 15mm
Bredde: 180mm
Højde: 230mm
Forlag: O'Reilly Media
Oplagsdato: 13 jan 2023
Forfatter(e) Matthew McAteer, Yada Pruksachatkun, Subhabrata Majumdar


Kategori Machine learning


ISBN-13 9781098120276


Sprog Engelsk


Indbinding Paperback


Sider 350


Udgave


Længde 15mm


Bredde 180mm


Højde 230mm


Udg. Dato 13 jan 2023


Oplagsdato 13 jan 2023


Forlag O'Reilly Media