Introduction to Machine Learning with Applications in Information Security: Chapman & Hall/CRC Machine Learning & Pattern Recognition
Autor Mark Stampen Limba Engleză Paperback – 19 dec 2024
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| CRC Press – 27 sep 2022 | 527.01 lei 43-57 zile |
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Specificații
ISBN-13: 9781032207179
ISBN-10: 1032207175
Pagini: 498
Dimensiuni: 156 x 234 x 27 mm
Greutate: 0.75 kg
Ediția:2. Auflage
Editura: Chapman and Hall/CRC
Seria Chapman & Hall/CRC Machine Learning & Pattern Recognition
ISBN-10: 1032207175
Pagini: 498
Dimensiuni: 156 x 234 x 27 mm
Greutate: 0.75 kg
Ediția:2. Auflage
Editura: Chapman and Hall/CRC
Seria Chapman & Hall/CRC Machine Learning & Pattern Recognition
Notă biografică
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.
Cuprins
- 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
Index