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(Ebook) Deep Learning Techniques for IoT Security and Privacy (Studies in Computational Intelligence, 997) by Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash; Weiping Ding ISBN 9783030890247, 3030890244

  • SKU: EBN-36558562
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Instant download (eBook) Deep Learning Techniques for IoT Security and Privacy (Studies in Computational Intelligence, 997) after payment.
Authors:Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash; Weiping Ding
Pages:278 pages.
Year:2021
Editon:1st ed. 2022
Publisher:Springer
Language:english
File Size:6.38 MB
Format:pdf
ISBNS:9783030890247, 3030890244
Categories: Ebooks

Product desciption

(Ebook) Deep Learning Techniques for IoT Security and Privacy (Studies in Computational Intelligence, 997) by Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash; Weiping Ding ISBN 9783030890247, 3030890244

This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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