Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition) is backordered and will ship as soon as it is back in stock.
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Introduction to Machine Learning with Applications in Information S...
Book Details
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Author: Mark Stamp
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Brand: Taylor & Francis Ltd
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Edition: 1
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Binding: Hardcover
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Number of Pages: 346
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Release Date: 07-09-2017
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EAN: 9781138626782
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Package Dimensions: 9.4 x 6.1 x 1.0 inches
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Languages: English
About The Book
Introduction to Machine Learning with Applications in Information Security is an accessible, class-tested introduction to machine learning algorithms, particularly in the context of information security. This book provides intuitive explanations of core machine learning topics such as Hidden Markov Models, Support Vector Machines, Clustering, Neural Networks, and many others. These concepts are illustrated with realistic applications, mainly focused on malware, to make the material approachable and practical. It is designed to demystify machine learning techniques for students and professionals with basic programming knowledge. The book also includes instructor resources and electronic access to figures in color.
