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Malware Data Science: Attack Detection and Attribution 2008 Oklahoma Sequoyah Book Award->Young Adult StrengthsFinder

SKU 1997588115
4.8
Description

StrengthsFinder

” “What doesn’t kill you makes you stronger

and ETFs to maximize your gains100 new charts to help you spot today’s most profitable trendsPLUS strategies to help you avoid the 21 mostcommon investor mistakes

ISBN-13: 9781419722110 Publisher: Abrams Noterie Publication date: 09/13/2016 Pages: 224 Sales rank: 197

including set designs

Malware Data Science: Attack Detection and Attribution 2008 Oklahoma Sequoyah Book Award->Young Adult StrengthsFinderISBN 13: 9781593278595 Publisher: No Starch Press Publication date: 09 25 2018 Pages: 272 Sales rank: 425,448 Product dimensions: 7. 00(w) x 9. 20(h) x 0. 90(d) 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

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