105,38 €
117,09 €
-10% with code: EXTRA
Privacy-Preserving Machine Learning
105,38 € 
- We will send in 10–14 business days.
Complex privacy-enhancing technologies are demystified through real-world use cases for facial recognition, cloud data storage, and more. Privacy-Preserving Machine Learning is a practical guide to keeping ML data anonymous and secure. You'll learn the core principles behind different privacy preservation technologies, and how to put theory into practice for your own machine learning. Complex privacy-enhancing technologies are demystified through real-world use cases for facial recognition, clo…
117.09
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- Author: J Morris Chang
- Publisher: Manning Publications
- ISBN-10: 1617298042
- ISBN-13: 9781617298042
- Format: 18.9 x 23.6 x 1.7 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Complex privacy-enhancing technologies are demystified through real-world use cases for facial recognition, cloud data storage, and more. Privacy-Preserving Machine Learning is a practical guide to keeping ML data anonymous and secure. You'll learn the core principles behind different privacy preservation technologies, and how to put theory into practice for your own machine learning. Complex privacy-enhancing technologies are demystified through real-world use cases for facial recognition, cloud data storage, and more. Alongside skills for technical implementation, you'll learn about current and future machine learning privacy challenges and how to adapt technologies to your specific needs. By the time you're done, you'll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.EXTRA 10 % discount with code: EXTRA
105,38 €
117,09 €
We will send in 10–14 business days.
The promotion ends in 21d.20:36:38
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: J Morris Chang
- Publisher: Manning Publications
- ISBN-10: 1617298042
- ISBN-13: 9781617298042
- Format: 18.9 x 23.6 x 1.7 cm, minkšti viršeliai
- Language: English English
Complex privacy-enhancing technologies are demystified through real-world use cases for facial recognition, cloud data storage, and more. Privacy-Preserving Machine Learning is a practical guide to keeping ML data anonymous and secure. You'll learn the core principles behind different privacy preservation technologies, and how to put theory into practice for your own machine learning. Complex privacy-enhancing technologies are demystified through real-world use cases for facial recognition, cloud data storage, and more. Alongside skills for technical implementation, you'll learn about current and future machine learning privacy challenges and how to adapt technologies to your specific needs. By the time you're done, you'll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Reviews