Practicing Trustworthy Machine Learning consistent, transparent, and fair AI pipelines
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 m...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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O'Reilly Media, Inc.
©2023
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| Ausgabe: | 1st edition |
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| Online-Zugang: | UER01 |
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| Zusammenfassung: | 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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| Beschreibung: | 1 online resource (xxiv, 274 pages) Illustrations |
| ISBN: | 9781098120245 |