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商品詳細
Deep Learning Techniques for IoT Security and Privacy. 2022 ed.
・ISBN 978-3-030-89024-7 hard EUR 159.99
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お気に入り
★★★
| 著者・編者 | Abdel-Basset, Mohamed / Moustafa, Nour / Hawash, Hossam / Ding, Weiping, |
|---|---|
| シリーズ | (Studies in Computational Intelligence) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2021 |
| ページ数 | 257 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-39540＞ |
解説
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.