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Analyse de données avec Python - Wes Mckinney

Posted By: iBooker
Date: 11 Jan 2023 13:57:36
Analyse de données avec Python - Wes Mckinney

Analyse de données avec Python - Wes Mckinney
Français | 2021 | ISBN: 2412065047 | EPUB |540 pages | 1.8 MB
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Guide pratique de Kubernetes - Michaël Hausenblas, Sébastian Goasguen

Posted By: iBooker
Date: 11 Jan 2023 13:49:25
Guide pratique de Kubernetes - Michaël Hausenblas, Sébastian Goasguen

Guide pratique de Kubernetes : L'art de construire des conteneurs d'applications - Michaël Hausenblas, Sébastian Goasguen
Français | 2020 | ISBN: 2412049645 | EPUB | 200 pages | 1 MB
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Kotlin. Guide pratique : Des réponses concrètes aux cas d'utilisation - Ken Kousen

Posted By: iBooker
Date: 11 Jan 2023 13:39:11
Kotlin. Guide pratique : Des réponses concrètes aux cas d'utilisation - Ken Kousen

Kotlin. Guide pratique : Des réponses concrètes aux cas d'utilisation - Ken Kousen
Français | 2020 | ISBN: 2412053286 | EPUB | 224 pages | 0.6 MB
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Practicing Trustworthy Machine Learning (Early Release)

Posted By: sammoh
Date: 12 Apr 2022 20:36:01
Practicing Trustworthy Machine Learning (Early Release)

Practicing Trustworthy Machine Learning (Early Release)
English | ISBN: ‎ 9781098120269 | 73 pages | November 2022 | EPUB | 2.23 MB

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. Many books on the subject offer deep dives into theories and concepts. 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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