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DTSTART;TZID=America/New_York:20170210T050000
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DTSTAMP:20260423T063523
CREATED:20170112T001256Z
LAST-MODIFIED:20170123T045920Z
UID:352-1486702800-1486710000@nycdh.org
SUMMARY:Social Network Analysis for Humanities
DESCRIPTION:Present the basics of Social Network Analysis (SNA): graphs\, metrics\, filtering\, grouping; introduce NodeXL\, Excel-based tool for SNA; do a couple of examples: (characters in Les Miserables; wordnet). \nSkill Level\nFamiliarity with Excel \nPrerequisites\nNone \nEquipment Requirements\nLaptops \n 
URL:https://nycdh.org/dhweek/event/social-network-analysis-for-humanities/
LOCATION:CUNY Graduate Center\, Room C196.05\, 365 Fifth Avenue\, New York\, 10016\, United States
CATEGORIES:Beginner,Intermediate
ORGANIZER;CN="Alexander Nakhimovsky":MAILTO:adnakhimovsky@colgate.edu
GEO:40.7486485;-73.984007
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170208T050000
DTEND;TZID=America/New_York:20170208T070000
DTSTAMP:20260423T063523
CREATED:20170114T010423Z
LAST-MODIFIED:20170114T010423Z
UID:562-1486530000-1486537200@nycdh.org
SUMMARY:Machine Learning: A Primer
DESCRIPTION:In recent years we have seen words related to recent developments in computer science and technology\, like machine learning\, artificial intelligence or neural networks\, be used increasingly in diverse fields of research and of the society in general. This workshop will survey basic concepts of machine learning. No specific background is expected. The goal is to provide some vocabulary with which one can get a sense of what these computational methods are about. In addition\, we will also survey existing machine learning-related resources that one can explore to learn further; the resources will address technical understanding as well as critical thinking about the many implications of the technology. \nSkill Level\nBeginner \nPrerequisites\nNone \nEquipment Requirements\nNone
URL:https://nycdh.org/dhweek/event/machine-learning-a-primer/
LOCATION:CUNY Graduate Center\, Room C196.05\, 365 Fifth Avenue\, New York\, 10016\, United States
CATEGORIES:Beginner,Machine Learning
ORGANIZER;CN="Achim Koh":MAILTO:akoh@gradcenter.cuny.edu
GEO:40.7486485;-73.984007
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