
Cybersecurity Analytics by Rakesh M Verma
This book organizes in one place the mathematics, probability, statistics and machine learning information that is required for a practitioner of cybersecurity analytics, as well as the basics of cybersecurity needed for a practitioner.-
Introduction to NFL Analytics with R
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Probability and Statistics for Data Science
- Deep Learning and Statistics
- Introduction to Data Science
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DevOps for Data Science
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Data Science in Healthcare
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What's the Question?
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Test-Driven Data Analysis
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Textual and Contextual Data Analysis
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Advanced Basketball Data Science
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Introduction to Classifier Performance Analysis with R
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Research Software Engineering
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Getting (more out of) Graphics
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JavaScript for Data Science
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Supervised Machine Learning for Text Analysis in R
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Massive Graph Analytics
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An Introduction to IoT Analytics
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Deep-Learning-Assisted Statistical Methods with Examples in R
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Natural Language Processing in the Real World
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Predictive Modelling for Football Analytics
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Models Demystified
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Big Data Analytics
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Basketball Data Science
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Why Data Science Projects Fail
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Mathematical Engineering of Deep Learning
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Data Science for Water Utilities
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Real World AI Ethics for Data Scientists
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Data Science and Analytics Strategy
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Hands-On Data Science for Librarians
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Data Science
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Practitioner's Guide to Data Science
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Practitioner’s Guide to Data Science
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Spatial Statistics for Data Science
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Data Science in Practice
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The Data Preparation Journey
Rakesh Verma is a professor of computer science at the University of Houston where he is leading a research group that applies reasoning and data science to cybersecurity challenges. He teaches a course on security analytics that includes some of the material here. Since 2015, he has been co-organizing and editing the proceedings of the ACM International Workshop on Security and Privacy Analytics. He is an editor of Frontiers of Big Data in the Cybersecurity Area, an ACM Distinguished Speaker (2011-2018), and the winner of two Best Paper Awards. He received the Lifetime Mentoring Award from the University of Houston and he is a Fulbright Senior Specialist in Computer Science.
David Marchette is a principal scientist at the Naval Surface Warfare Center, Dahlgren Division where he is responsible for leading basic and applied research projects in computational statistics, graph theory, network analysis, pattern recognition, computer intrusion detection, and text analysis. He is a fellow of the American Statistical Association (ASA) and the American Association for the Advancement of Science (AAAS) and an elected member of the International Statistical Institute (ISI).
| SKU | Unavailable |
| ISBN 13 | 9781032401003 |
| ISBN 10 | 1032401001 |
| Title | Cybersecurity Analytics |
| Author | Rakesh M Verma |
| Series | Chapman And Hall Crc Data Science Series |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2022-08-29 |
| Number of pages | 340 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
































