0 Mėgstami
0Krepšelis
271,02 
271,02 
2025-07-31 271.0200 InStock
Nemokamas pristatymas į paštomatus per 13-17 darbo dienų užsakymams nuo 19,00 

Knygos aprašymas

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.

Informacija

Autorius: Mohamed Abdel-Basset, Weiping Ding, Hossam Hawash, Nour Moustafa,
Serija: Studies in Computational Intelligence
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2022
Knygos puslapių skaičius: 280
ISBN-10: 3030890279
ISBN-13: 9783030890278
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Artificial intelligence (AI)

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „Deep Learning Techniques for IoT Security and Privacy“

Būtina įvertinti prekę

Goodreads reviews for „Deep Learning Techniques for IoT Security and Privacy“