Privacy-Preserving Machine Learning: A use-case-driven approach to building and protecting ML pipelines from privacy and security threats | 誠品線上

Privacy-Preserving Machine Learning: A use-case-driven approach to building and protecting ML pipelines from privacy and security threats

作者 Srinivasa Rao Aravilli
出版社 Ingram International Inc
商品描述 Privacy-Preserving Machine Learning: A use-case-driven approach to building and protecting ML pipelines from privacy and security threats:,:誠品以「人文、藝

商品規格

書名 / Privacy-Preserving Machine Learning: A use-case-driven approach to building and protecting ML pipelines from privacy and security threats
作者 / Srinivasa Rao Aravilli
簡介 / Privacy-Preserving Machine Learning: A use-case-driven approach to building and protecting ML pipelines from privacy and security threats:,:誠品以「人文、藝
出版社 / Ingram International Inc
ISBN13 / 9781800564671
ISBN10 /
EAN / 9781800564671
誠品26碼 /
裝訂 / P:平裝
頁數 / 402
語言 / 3:英文
級別 / N:無
尺寸 / 23.5X19.1X2.1CM

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