Mark Stamp

Introduction to Machine Learning with Applications in Information Security (eBook, PDF)

• Format: PDF

Produktbeschreibung

Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 548
• Erscheinungstermin: 27. September 2022
• Englisch
• ISBN-13: 9781000626261
• Artikelnr.: 66346352

Autorenporträt

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.

Inhaltsangabe

1. Preface
About the Author
1. What is Machine Learning?
2. A Revealing Introduction to Hidden Markov Models
3. Principles of Principal Component Analysis
4. A Reassuring Introduction to Support Vector Machines
5. A Comprehensible Collection of Clustering Concepts
6. Many Mini Topics
7. Deep Thoughts on Deep Learning
8. Onward to Backpropagation
9. A Deeper Diver into Deep Learning
10. Alphabet Soup of Deep Learning Topics
11. HMMs for Classic Cryptanalysis
12. Image Spam Detection
13. Image-Based Malware Analysis
14. Malware Evolution Detection
15. Experimental Design and Analysis
16. Epilogue
References
Index