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Introduction to Machine Learning with Applications in Information Security: Chapman & Hall/CRC Machine Learning & Pattern Recognition

Autor Mark Stamp
en Limba Engleză Paperback – 19 dec 2024
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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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


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

  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