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portada Deep Learning Techniques for Iot Security and Privacy
Type
Physical Book
Publisher
Language
Inglés
Pages
257
Format
Hardcover
Dimensions
23.4 x 15.6 x 1.8 cm
Weight
0.57 kg.
ISBN13
9783030890247

Deep Learning Techniques for Iot Security and Privacy

Mohamed Abdel-Basset (Author) · Nour Moustafa (Author) · Hossam Hawash (Author) · Springer · Hardcover

Deep Learning Techniques for Iot Security and Privacy - Abdel-Basset, Mohamed ; Moustafa, Nour ; Hawash, Hossam

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£ 187.91

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Wednesday, July 17 and Wednesday, July 24.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Deep Learning Techniques for Iot Security and Privacy"

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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