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Deep Learning Techniques For Iot Security And Privacy Studies In Computational Intelligence 997 1st Ed 2022 Mohamed Abdelbasset Nour Moustafa Hossam Hawash Weiping Ding

  • SKU: BELL-36558562
Deep Learning Techniques For Iot Security And Privacy Studies In Computational Intelligence 997 1st Ed 2022 Mohamed Abdelbasset Nour Moustafa Hossam Hawash Weiping Ding
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Deep Learning Techniques For Iot Security And Privacy Studies In Computational Intelligence 997 1st Ed 2022 Mohamed Abdelbasset Nour Moustafa Hossam Hawash Weiping Ding instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 6.38 MB
Pages: 278
Author: Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash; Weiping Ding
ISBN: 9783030890247, 3030890244
Language: English
Year: 2021
Edition: 1st ed. 2022

Product desciption

Deep Learning Techniques For Iot Security And Privacy Studies In Computational Intelligence 997 1st Ed 2022 Mohamed Abdelbasset Nour Moustafa Hossam Hawash Weiping Ding by Mohamed Abdel-basset; Nour Moustafa; Hossam Hawash; Weiping Ding 9783030890247, 3030890244 instant download after payment.

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.

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