Sprache: Englisch
Verlag: Chapman and Hall/CRC (edition 1), 2022
ISBN 10: 1032401001 ISBN 13: 9781032401003
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Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Sprache: Englisch
Verlag: Chapman and Hall/CRC (edition 1), 2022
ISBN 10: 1032401001 ISBN 13: 9781032401003
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: New. 1. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Anbieter: GreatBookPrices, Columbia, MD, USA
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Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 54,71
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 65,16
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032401001 ISBN 13: 9781032401003
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EUR 74,73
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In den WarenkorbPaperback. Zustand: New. Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 60,63
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Sprache: Englisch
Verlag: Chapman and Hall/CRC 2022-08-29, 2022
ISBN 10: 1032401001 ISBN 13: 9781032401003
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EUR 60,94
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Hardcover. Zustand: Fine. Hardback in fine condition.
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EUR 64,44
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Anbieter: Books Puddle, New York, NY, USA
Zustand: New. 1st edition NO-PA16APR2015-KAP.
Zustand: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 356 pages. 10.00x7.00x0.79 inches. In Stock.
Sprache: Englisch
Verlag: Springer Publishing Company, New York, 2001
ISBN 10: 0387952810 ISBN 13: 9780387952819
Anbieter: Boards & Wraps, Baltimore, MD, USA
Erstausgabe
Hardcover. Zustand: Near Fine. Zustand des Schutzumschlags: No Dust Jacket. First Edition; First Printing. Name in ink on front pastedown, else Near Fine.; Information Science And Statistics; 8vo 8" - 9" tall; 333 pages.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 356 pages. 10.00x7.00x0.79 inches. In Stock.
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Zustand: New. 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 include.
Gebunden. Zustand: Gut. Gebraucht - Gut Verlagsmängelex., XVII, 332 p. 70 illus This book covers the basic statistical and analytical techniques of computer intrusion detection. It is aimed at both statisticians looking to become involved in the data analysis aspects of computer security and computer scientists looking to expand their toolbox of techniques for detecting intruders. The book is self-contained, assumng no expertise in either computer security or statistics. It begins with a description of the basics of TCP/IP, followed by chapters dealing with network traffic analysis, network monitoring for intrusion detection, host based intrusion detection, and computer viruses and other malicious code. Each section develops the necessary tools as needed. There is an extensive discussion of visualization as it relates to network data and intrusion detection. The book also contains a large bibliography covering the statistical, machine learning, and pattern recognition literature related to network monitoring and intrusion detection. David Marchette is a scientist at the Naval Surface Warfacre Center in Dalhgren, Virginia. He has worked at Navy labs for 15 years, doing research in pattern recognition, computational statistics, and image analysis. He has been a fellow by courtesy in the mathematical sciences department of the Johns Hopkins University since 2000. He has been working in conputer intrusion detection for several years, focusing on statistical methods for anomaly detection and visualization. Dr. Marchette received a Masters in Mathematics from the University of California, San Diego in 1982 and a Ph.D. in Computational Sciences and Informatics from George Mason University in 1996. For Practitioners, researchers, graduate students.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 111,83
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In den WarenkorbZustand: New. In.
Anbieter: GreatBookPrices, Columbia, MD, USA
EUR 126,40
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In den WarenkorbZustand: New.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 111,82
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In den WarenkorbZustand: New.
Anbieter: GreatBookPrices, Columbia, MD, USA
EUR 135,09
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In den WarenkorbZustand: New.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 124,03
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In den WarenkorbZustand: New.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 128,05
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032401001 ISBN 13: 9781032401003
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 70,11
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: New. Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.