Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition) - Image 1

£54.14

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

Name: Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Brand: Chapman and Hall/CRC
Price: 54.14 GBP
Availability: InStock

Teaching Aids

It has never been this cheap. We have no record of a lower price.

£54 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 83 days • 83 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 83 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £54 (77 days, 92.8%)

Price range: £54 - £57

Price levels: 2 different prices over 83 days

Description

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 AdaBoost, Random Forests, Linear Discriminant Analysis, Vector Quantization, Naive Bayes, Regression Analysis, Conditional Random Fields, and Data Analysis. Most of the examples in the book are drawn from the field of information security, with many of the machine learning applications specifically focused on malware. The applications presented are designed to demystify machine learning techniques by providing straightforward scenarios. Many of the exercises in this book require some programming, and basic computing concepts are assumed in a few of the application sections. However, anyone with a modest amount of programming experience should have no trouble with this aspect of the book. Instructor resources, including PowerPoint slides, lecture videos, and other relevant material are provided on an accompanying website: http://www.cs.sjsu.edu/~stamp/ML/. For the reader’s benefit, the figures in the book are also available in electronic form, and in color. About the Author Mark Stamp has been a Professor of Computer Science at San Jose State University since 2002. Prior to that, he worked at the National Security Agency (NSA) for seven years, and a Silicon Valley startup company for two years. He received his Ph.D. from Texas Tech University in 1992. His love affair with machine learning began in the early 1990s, when he was working at the NSA, and continues today at SJSU, where he has supervised vast numbers of master’s student projects, most of which involve a combination of information security and machine learning.

Key Features

New Store Stock

Product Specifications

Brand: Chapman and Hall/CRC
Format: hardcover
ASIN: 1138626783
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Education > Teaching Aids
Domain: Amazon UK
Release Date: 07 September 2017
Listed Since: 27 September 2016

Barcode

No barcode data available

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

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

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)

Springer Security with Intelligent Computing and Big-Data Services

Proceedings of the International Conference on Applied CyberSecurity (ACS) 2021: 378 (Lecture Notes in Networks and Systems, 378)

Progress in Image Processing, Pattern Recognition and Communication Systems: Proceedings of the Conference (CORES, IP&C, ACS) - June 28-30 2021: 255 (Lecture Notes in Networks and Systems, 255)

Developments in Information Security and Cybernetic Wars (Advances in Information Security, Privacy, and Ethics (AISPE))

System and Architecture: Proceedings of CSI 2015: 732 (Advances in Intelligent Systems and Computing, 732)

Academic Press Data Analytics for Social Microblogging Platforms

Machine Intelligence and Big Data Analytics for Cybersecurity Applications: 919 (Studies in Computational Intelligence, 919)

Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science (Advances in Data Mining and Database Management)

CRC Press Opportunistic Networks - Mobility, Security & Privacy

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020): 1383 (Advances in Intelligent Systems and Computing, 1383)

Information Security: 7th International Conference, ISC 2004, Palo Alto, CA, USA, September 27-29, 2004, Proceedings: 3225 (Lecture Notes in Computer Science, 3225)

Developments in Information Security and Cybernetic Wars

Information Fusion for Cyber-Security Analytics: 691 (Studies in Computational Intelligence, 691)

Effective Strategies for Teaching in K-8 Classrooms

Smart Network Inspired Paradigm and Approaches in IoT Applications

National Security in the Digital Age - Academica Press Book

Artificial Intelligence in Breast Cancer Early Detection and Diagnosis

Information Security: Principles and Practice

Artificial Intelligence in Breast Cancer Early Detection and Diagnosis

Machine Learning and Information Processing: Proceedings of ICMLIP 2019: 1101 (Advances in Intelligent Systems and Computing, 1101)

Applications of Artificial Neural Networks for Nonlinear Data (Advances in Computational Intelligence and Robotics)

Proceedings of the Global AI Congress 2019: 1112 (Advances in Intelligent Systems and Computing, 1112)