81,67 €
102,09 €
Practical Data Privacy
81,67 € 
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Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrat…
81.67
2025-06-29 23:59:00
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- Autorius: Katharine Jarmul
- Leidėjas: O'Reilly Media
- Metai: 2023
- Puslapiai: 300
- ISBN-10: 1098129466
- ISBN-13: 9781098129460
- Formatas: 17.6 x 23.2 x 1.9 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -20 % nuolaida šiai knygai su kodu ENG20
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Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems. Practical Data Privacy answers important questions suchEXTRA 20 % nuolaida
81,67 €
102,09 €
Išsiųsime per 10–14 d.d.
Kupono kodas: ENG20
Akcija baigiasi už 4d.00:21:07
Nuolaidos kodas galioja perkant nuo 10 €. Nuolaidos nesumuojamos.
- Autorius: Katharine Jarmul
- Leidėjas: O'Reilly Media
- Metai: 2023
- Puslapiai: 300
- ISBN-10: 1098129466
- ISBN-13: 9781098129460
- Formatas: 17.6 x 23.2 x 1.9 cm, minkšti viršeliai
- Kalba: Anglų
Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems. Practical Data Privacy answers important questions such
Atsiliepimai