Transcription of Data Science Tutorial
{{id}} {{{paragraph}}}
Example: tourism industry
Data Science Tutorial
12017 SEI data Science in Cybersecurity SymposiumApproved for Public Release; Distribution is Unlimited1 Software Engineering InstituteCarnegie Mellon UniversityPittsburgh, PA 152132017 SEI data Science in Cybersecurity SymposiumApproved for Public Release; Distribution is UnlimitedData Science TutorialEliezer Kanal Technical Manager, CERTD aniel DeCapria data Scientist, ETC2 data Science TutorialAugust 10, 2017 2017 Carnegie Mellon University2017 SEI data Science in Cybersecurity SymposiumApproved for Public Release; Distribution is Unlimited2 About usEliezer KanalTechnical Manager, CERTR ecent projects: ML-based Malware Classifier Network traffic analysis Cybersecurity questionnaireoptimizationDaniel DeCapriaData Scientist, ETCR ecent projects: Cyber risk situationaldashboard Big Learning benchmarks3 data Science TutorialAugust 10, 2017 2017 Carnegie Mellon University2017 SEI data Science in Cybersecurity SymposiumApproved for Public Release; Distribution is Unlimited3 Today s presentation a tale of two rolesThe call center managerIntroduction todata Science capabilitiesThe master carpenterOverview of thedata Science toolkit4 data Science TutorialAugust 10, 2017 2017 Carnegie Mellon University2017 SEI data Science in Cybersecurity SymposiumApproved for Public Release; Distribut
Today’s presentation –a tale of two roles The call center manager Introduction to data science capabilities The master carpenter Overview of the data science toolkit. 4 ... • Works best with numeric data (usually) • Works for predicting specific numeric outcome. 38 Data Science Tutorial August 10, 2017
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: