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Introduction to Machine Learning with Applications in Information Security
Mark Stamp
€ 75.59
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Description for Introduction to Machine Learning with Applications in Information Security
Hardback. .
Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning algorithms, reinforced through realistic applications. The book is accessible and doesn't prove theorems, or otherwise dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts. The book covers core machine learning topics in-depth, including Hidden Markov Models, Principal Component Analysis, Support Vector Machines, and Clustering. It also includes coverage of Nearest Neighbors, Neural Networks, Boosting and ... Read more
Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning algorithms, reinforced through realistic applications. The book is accessible and doesn't prove theorems, or otherwise dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts. The book covers core machine learning topics in-depth, including Hidden Markov Models, Principal Component Analysis, Support Vector Machines, and Clustering. It also includes coverage of Nearest Neighbors, Neural Networks, Boosting and ... Read more
Product Details
Publisher
Taylor & Francis Ltd
Format
Hardback
Publication date
2017
Condition
New
Number of Pages
346
Place of Publication
London, United Kingdom
ISBN
9781138626782
SKU
V9781138626782
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-6
About Mark Stamp
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.
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