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DTSTART;TZID=America/New_York:20170208T043000
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DTSTAMP:20260417T034438
CREATED:20170111T233135Z
LAST-MODIFIED:20170112T011426Z
UID:338-1486528200-1486535400@nycdh.org
SUMMARY:Machine Learning for the Study of Literary and Historical Corpora
DESCRIPTION:Depending on participant interest\, this workshop will discuss either (1) principal component analysis or (2) word embeddings as a technique for exploring large digitized corpora\, with particular emphasis on applications to literary and historical study. The workshop will be conducted using Jupyter notebooks in Python. \nNo prior experience with Python is assumed\, but elementary knowledge of Python will be helpful. Participants will learn what these techniques are\, some of the assumptions these techniques make\, and how they can immediately apply these techniques to their own set of literary or historical texts. Larger implications of using these techniques for humanist study will also be discussed. \nSkill Level\nBeginner to Intermediate \nPrerequisites\nNone \nEquipment Requirements\nLaptops required\, participants will access jupyter notebooks via their web browser (no install required)
URL:https://nycdh.org/dhweek/event/machine-learning-for-the-study-of-literary-and-historical-corpora/
LOCATION:NYU XE: Experimental Humanities and Social Enagement\, Conference Room\, 24 E 8th St.\, New York\, NY\, 10003\, United States
CATEGORIES:Beginner,Intermediate,Programming Languages,Python
ORGANIZER;CN="Aaron Plasek":MAILTO:aaron.plasek@columbia.edu
GEO:40.73169;-73.995173
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