BEGIN:VCALENDAR PRODID;X-RICAL-TZSOURCE=TZINFO:-//Calagator//EN CALSCALE:GREGORIAN X-WR-CALNAME:Calagator METHOD:PUBLISH VERSION:2.0 BEGIN:VTIMEZONE TZID;X-RICAL-TZSOURCE=TZINFO:America/Los_Angeles BEGIN:STANDARD DTSTART:20181104T020000 RDATE:20181104T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20190122T070042Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20190223T140000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20190223T130000 DTSTAMP;VALUE=DATE-TIME:20190122T070042Z LAST-MODIFIED;VALUE=DATE-TIME:20190122T070042Z UID:http://calagator.org/events/1250474884 DESCRIPTION:Philip Robinson will be presenting research whilst at NASA on Topic Modeling. \;\n \;\nTopic modeling is the task of taking a c ollection of objects and establishing a strategy for describing these ob jects by common categories found across the collection. This is usually an unsupervised activity applied to a document collection and doesn't re quire topics to be human interpret-able. My talk introduces Latent Diric hlet Allocation\, as a topic modeling strategy for a collection of topic s\, and discusses an implemented prototype system I developed for NASA's Jet Propulsion Lab. For this project\, I addressed the "\;Matchmake r's Problem"\; in the context of identifying the best employee to so lve a mission-critical engineering anomaly in late-stage missions. The l ong-form presentation can be found here \;\nhttps://github.com/probin so/expert-modeling-system/blob/master/decks/itds/pres.pdf \;\n \;\ nIf you would like to join the discussion check us out on Zoom https://z oom.us/j/7891236789. \;\n \;\nDo you want to learn and share your passion in a supportive community? Knowledge Mavens is an ethos of shari ng\, creativity\, and inspiration. \;\n \;\nOur Meetup provides an opportunity to "\;Show and Tell"\; followed by feedback and Q&a mp\;A. You'll have the opportunity to share with our channels such as Me etup\, GitHub\, YouTube\, and Facebook to connect with more passionate p eople. \;\n \;\nThe second half of our session we'll collaborate o n new topics. The winner wins an award for the most interesting topic an d the opportunity to share in an upcoming session.\n\nTags: python\, mac hine learning\, data science\, programming\, coding\, Artificial Intelli gence\, topic modeling\, nasa\, latent Dirichlet Allocation\, LDA\n\nImp orted from: http://calagator.org/events/1250474884 URL:http://KnowledgeMavens.org SUMMARY:Topic Modeling Using Latent Dirichlet Allocation LOCATION:Portland Community Church: 7100 Southwest Scholls Ferry Road\, B eaverton OR 97008 US SEQUENCE:1 END:VEVENT END:VCALENDAR