BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv6.5.5//EN
X-ORIGINAL-URL:https://summits.harrisburgu.edu/analyticssummit2022/
X-WR-CALNAME:Data Analytics Summit
X-WR-CALDESC:2022
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
DTSTART;TZID=America/New_York:20220330T113000
DTEND;TZID=America/New_York:20220330T121500
DTSTAMP:20220225T172100
UID:MEC-918c41a9e89d653596efd5df9c35b90b@summits.harrisburgu.edu
CREATED:20220225
LAST-MODIFIED:20220322
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Unsupervised Learning: Expectation Maximization Algorithm
DESCRIPTION:\n\n\nExpectation Maximization (EM) algorithm as implemented in Unsupervised Learning for data clustering will be explained in simple terms. An EM implementation running in Jupyter Notebook will be demoed taking unlabeled data as input, perform the EM clustering logic, and the resulting data clusters are shown graphically.\n\n\n\n
URL:https://summits.harrisburgu.edu/analyticssummit2022/events/track-3-virtual-unsupervised-learning-expectation-maximization-algorithm/
ORGANIZER;CN=Amir Bahmanyari | Advisory Systems Engineer | Dell Technologies:MAILTO:Amir_Bahmanyari@Dell.com
CATEGORIES:Track 3
END:VEVENT
END:VCALENDAR