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Mark Stamp is a Professor at San Jose State University, and the author of two textbooks, Information Security: Principles and Practice and Applied Cryptanalysis: Breaking Ciphers in the Real World. He previously worked at the National Security Agency (NSA) for seven years, which was followed by two years at a small Silicon Valley startup company.
Preface
About the Author
- What is Machine Learning?
- A Revealing Introduction to Hidden Markov Models
- Principles of Principal Component Analysis
- A Reassuring Introduction to Support Vector Machines
- A Comprehensible Collection of Clustering Concepts
- Many Mini Topics
- Deep Thoughts on Deep Learning
- Onward to Backpropagation
- A Deeper Diver into Deep Learning
- Alphabet Soup of Deep Learning Topics
- HMMs for Classic Cryptanalysis
- Image Spam Detection
- Image-Based Malware Analysis
- Malware Evolution Detection
- Experimental Design and Analysis
- Epilogue
References
Index
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Importe, Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781032207179 |
| ISBN-10: | 1032207175 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Stamp, Mark |
| Auflage: | 2. Auflage |
| Hersteller: | Chapman and Hall/CRC |
| Verantwortliche Person für die EU: | Taylor & Francis Verlag GmbH, Kaufingerstr. 24, D-80331 München, gpsr@taylorandfrancis.com |
| Maße: | 234 x 156 x 27 mm |
| Von/Mit: | Mark Stamp |
| Erscheinungsdatum: | 19.12.2024 |
| Gewicht: | 0,749 kg |
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