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X-WR-CALNAME:Munich Startup
X-ORIGINAL-URL:https://cms.munich-startup.net
X-WR-CALDESC:Veranstaltungen für Munich Startup
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DTSTART:20160327T010000
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DTSTART:20161030T010000
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DTSTART;TZID=Europe/Berlin:20160728T190000
DTEND;TZID=Europe/Berlin:20160728T220000
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CREATED:20160719T094131Z
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UID:12823-1469732400-1469743200@cms.munich-startup.net
SUMMARY:Munich Datageeks - July 2016 Edition
DESCRIPTION:Format:\n\n2 presentations (each ca. 30-40 min incl. discussion)\nOf course time for networking + food + drinks before\, in between and especially after the presentations\nTalks are held in English\n\nThe line up:\nDaniel Peterson – Understanding and Expanding Word2Vec \nDaniel Peterson is a data scientist at TrustYou\, and a PhD candidate at the University of Colorado. His work focuses on deriving meaningful insights from text. His first degree is a BA in Mathematics\, which established the foundation in problem-solving that led him to machine learning. He’s from Wyoming\, the smallest-population state in the USA\, and in his spare time he homebrews beer\, reads\, walks outside\, and in the summers works in his vegetable garden. \nWord2Vec has proven useful at many tasks in NLP\, because the vectors learned capture many meaningful relationships. This has spawned a large number of variations suited to accomplishing distinct tasks – not unlike LDA did ten years earlier. In this talk\, I’ll walk through briefly how Word2Vec functions\, its assumptions and shortfalls\, and some simple\, successful variants. \nTBA – TBA \n  \nHier findet Ihr mehr Informationen zu den Munich Datageeks und der Veranstaltung.
URL:https://cms.munich-startup.net/veranstaltung/munich-datageeks-july-2016-edition/
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