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Privacypreserving Machine Learning A Usecasedriven Approach To Building And Protecting Ml Pipelines From Privacy And Security Threats 1st Edition Srinivas Rao Aravilli

  • SKU: BELL-62711154
Privacypreserving Machine Learning A Usecasedriven Approach To Building And Protecting Ml Pipelines From Privacy And Security Threats 1st Edition Srinivas Rao Aravilli
$ 31.00 $ 45.00 (-31%)

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Privacypreserving Machine Learning A Usecasedriven Approach To Building And Protecting Ml Pipelines From Privacy And Security Threats 1st Edition Srinivas Rao Aravilli instant download after payment.

Publisher: Packt Publishing
File Extension: PDF
File size: 5.8 MB
Pages: 402
Author: Srinivas Rao Aravilli
ISBN: 9781800564671, 1800564678
Language: English
Year: 2024
Edition: 1

Product desciption

Privacypreserving Machine Learning A Usecasedriven Approach To Building And Protecting Ml Pipelines From Privacy And Security Threats 1st Edition Srinivas Rao Aravilli by Srinivas Rao Aravilli 9781800564671, 1800564678 instant download after payment.

Gain hands-on experience in data privacy and privacy-preserving machine learning with open-source ML frameworks, while exploring techniques and algorithms to protect sensitive data from privacy breaches

Key Features

Understand machine learning privacy risks and employ machine learning algorithms to safeguard data against breaches
Develop and deploy privacy-preserving ML pipelines using open-source frameworks
Gain insights into confidential computing and its role in countering memory-based data attacks

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