Introduction to machine learning with applications in information security. (2022)

• Record Type: Book
• Further Information: Note: Mark Stamp.
• Authors: Stamp, Mark
• Contents: 1. What is Machine Learning? Part I Classic 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 Part II Deep Learning 7. Deep Thoughts on Deep Learning 8. Onward to Backpropagation 9. A Deeper Dive into Deep Learning 10. Alphabet Soup of Deep Learning Topics Part III Applications 11. HMMs for Classic Cryptanalysis 12. Image Spam Detection 13. Image-Based Malware Analysis 14. Malware Evolution Detection Part IV Extras 15. Experimental Design and Analysis 16. Epilogue References Index
• Edition: Second edition
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 005.8; Computer security; Machine learning
• Languages: English
• ISBNs: 9781000626278; 9781000626261; 9781003264873
• Related ISBNs: 9781032204925
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.