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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20241021T123402
DTSTART;TZID=America/Detroit:20241101T100000
DTEND;TZID=America/Detroit:20241101T120000
SUMMARY:Presentation:Judy Wu - Dissertation Defense
DESCRIPTION:Please join Judy Wu for their dissertation defense titled \"Investigation of Ambient Aerosols in Arctic and Sub-Arctic Environments using Aerosol Time-of-Flight Mass Spectrometry\".\n\n*Date:* Friday\, November 1\, 2024\n*Time:* 10:00 a.m.\n*Where:* Room 1706\, Chemistry Building\n\nZoom Link: https://umich.zoom.us/j/92116455188\nPasscode: Particles!
UID:128132-21860216@events.umich.edu
URL:https://events.umich.edu/event/128132
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Chemistry
LOCATION:Chemistry Dow Lab - 1706
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20240822T143331
DTSTART;TZID=America/Detroit:20241101T100000
DTEND;TZID=America/Detroit:20241101T110000
SUMMARY:Social / Informal Gathering:La Tertulia: Spanish Coffee Hour
DESCRIPTION:*Hola!* *¿Cómo estás?*\nALL LEVELS AND STUDENTS WELCOME!\n\n-Practice your Spanish speaking skills with fellow students & instructors in a welcoming and relaxed environment\n\n-Come & go as you please\; stay for the hour or only part\n\n-Free coffee\, tea\, light snacks & baked goods\n\nFor more information\, please contact Julie Harrell at harrelju@umich.edu
UID:124762-21853753@events.umich.edu
URL:https://events.umich.edu/event/124762
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Language,International,Languages,Latin America,Networking,Romance Language,Romance Languages And Literatures,Social,Spain,Spanish,study abroad,Undergraduate,Undergraduate Students,intercultural,Games,Free,Food,European,Europe,Engaged Learning,department of romance languages,Culture,cultural,Community Engagement,Community,Coffee,Central America
LOCATION:Modern Languages Building - RLL Commons (MLB 4314)
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20241023T143300
DTSTART;TZID=America/Detroit:20241101T100000
DTEND;TZID=America/Detroit:20241101T110000
SUMMARY:Workshop / Seminar:Statistics Department Seminar Series: David Hogg\, Professor of Physics and Data Science\, Center for Cosmology and Particle Physics\, Department of Physics\, New York University
DESCRIPTION:Abstract: Machine learning (ML) methods are having a huge impact across all of the sciences. However\, ML has a strong ontology - in which only the data exist - and a strong epistemology - in which a model is considered good if it performs well on held-out training data. These philosophies are in strong conflict with both standard practices and key philosophies in the natural sciences. I identify some locations for ML in the natural sciences at which the ontology and epistemology are valuable. I also show that there are contexts in which the introduction of ML introduces strong\, unwanted statistical biases. My partial answers I provide (to the question in my title) come from the particular perspective of physics.\n\nWork in collaboration with Soledad Villar at JHU.\n\nhttps://cosmo.nyu.edu/hogg/
UID:124546-21853173@events.umich.edu
URL:https://events.umich.edu/event/124546
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:seminar
LOCATION:West Hall - 340
CONTACT:
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