Introduction to Machine Learning with Applications in Information Security (Hardcover, 2 ed)

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