Mark Stamp

Introduction to Machine Learning with Applications in Information Security

• Gebundenes Buch

Produktbeschreibung

This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information security. The book will cover malware detection, cryptography, and intrusion detection. The book will be relevant for students in machine learning and computer security courses.

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Produktdetails

• Chapman & Hall/CRC Machine Learning & Pattern Recognition
• Verlag: Taylor & Francis Ltd
• Seitenzahl: 346
• Erscheinungstermin: 7. September 2017
• Englisch
• Abmessung: 238mm x 171mm x 29mm
• Gewicht: 692g
• ISBN-13: 9781138626782
• ISBN-10: 1138626783
• Artikelnr.: 49372192

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