Seller: Bay State Book Company, North Smithfield, RI, U.S.A.
Condition: very_good.
Seller: Bay State Book Company, North Smithfield, RI, U.S.A.
Condition: very_good.
Seller: Evergreen Goodwill, Seattle, WA, U.S.A.
paperback. Condition: Good.
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Language: English
Published by No Starch Press, Incorporated, 2018
ISBN 10: 1593278594 ISBN 13: 9781593278595
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Seller: Tim's Used Books Provincetown Mass., Provincetown, MA, U.S.A.
Soft cover. Condition: Very Good. No marks in text. Not a library book. Ships in a cardboard enclosure. One copy only of this title. Tim's Used Books, open shop in Provincetown, Massachusetts, known for good books at reasonable prices since 1991.
Paperback. Condition: new. New Copy. Customer Service Guaranteed.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by No Starch Press, Incorporated, 2018
ISBN 10: 1593278594 ISBN 13: 9781593278595
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Seller: Massive Bookshop, Greenfield, MA, U.S.A.
Paperback. Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 2018. Paperback. . . . . .
Language: English
Published by No Starch Press, Incorporated, 2018
ISBN 10: 1593278594 ISBN 13: 9781593278595
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 243 pages. 9.25x7.00x0.75 inches. In Stock.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by No Starch Press, Incorporated, 2018
ISBN 10: 1593278594 ISBN 13: 9781593278595
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2018. Paperback. . . . . . Books ship from the US and Ireland.
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Language: English
Published by No Starch Press Sep 2018, 2018
ISBN 10: 1593278594 ISBN 13: 9781593278595
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.Security has become a 'big data' problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, you'll need to know how to think like a data scientist. In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualization, and shows you how to apply these methods to malware detection and analysis. You'll learn how to:- Analyze malware using static analysis- Observe malware behavior using dynamic analysis- Identify adversary groups through shared code analysis- Catch 0-day vulnerabilities by building your own machine learning detector- Measure malware detector accuracy- Identify malware campaigns, trends, and relationships through data visualization Whether you're a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, Malware Data Science will help you stay ahead of the curve.