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VERSION:2.0
PRODID:-//Wisconsin Institute for Discovery - ECPv6.5.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://wid.wisc.edu
X-WR-CALDESC:Events for Wisconsin Institute for Discovery
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20250309T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20251102T070000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250501T090000
DTEND;TZID=America/Chicago:20250501T123000
DTSTAMP:20260415T045552
CREATED:20250325T183335Z
LAST-MODIFIED:20250403T211834Z
UID:10000730-1746090000-1746102600@wid.wisc.edu
SUMMARY:Text Analysis Workshop
DESCRIPTION:Practical introduction to text analysis\, designed for those with Python experience. Join this workshop for a practical Introduction to Text Analysis\, designed for those with Python experience (how to create functions\, for loops\, conditional logic\, use the pandas library\, etc.). The workshop covers Natural Language Processing (NLP) basics\, API usage\, data preparation\, document/word embeddings\, topic modeling\, Word2Vec\, Transformer models using Hugging Face\, and ethical considerations. Students and researchers working in the digital humanities are especially encouraged to attend!\nCONTACT: facilitator@datascience.wisc.edu\nURL: https://uw-madison-datascience.github.io/2025-04-28-uwmadison-textanalysis/
URL:https://wid.wisc.edu/event/text-analysis-workshop-7/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250506T120000
DTEND;TZID=America/Chicago:20250506T130000
DTSTAMP:20260415T045552
CREATED:20250501T160455Z
LAST-MODIFIED:20250506T163354Z
UID:10000737-1746532800-1746536400@wid.wisc.edu
SUMMARY:Generative AI From Multiple Perspectives
DESCRIPTION:ML+X: Machine Learning Beyond Traditional CS Fields.\nCONTACT: endemann@wisc.edu\nURL: https://docs.google.com/forms/d/e/1FAIpQLSepL9Gzq3brXGRdKO8_OqVr5hmX4oTHD31tjfLl_Uvur8ONiA/viewform?usp=sharing\nONLINE: https://uwmadison.zoom.us/j/92639425571?pwd=Z0tCaWZxK0dDcWs2dm51dXZpcy9mQT09
URL:https://wid.wisc.edu/event/generative-ai-from-multiple-perspectives/
LOCATION:Orchard View Room\, Discovery Building  (Also offered online)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250507T090000
DTEND;TZID=America/Chicago:20250507T110000
DTSTAMP:20260415T045552
CREATED:20250501T160455Z
LAST-MODIFIED:20250506T163354Z
UID:10000738-1746608400-1746615600@wid.wisc.edu
SUMMARY:ML+Coffee: Retrieval Augmented Generation (RAG) & SQLDeps
DESCRIPTION:CONTACT: endemann@wisc.edu\nURL: https://docs.google.com/forms/d/e/1FAIpQLSepL9Gzq3brXGRdKO8_OqVr5hmX4oTHD31tjfLl_Uvur8ONiA/viewform?usp=sharing
URL:https://wid.wisc.edu/event/mlcoffee-retrieval-augmented-generation-rag-sqldeps/
LOCATION:1145 Discovery Building
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250519T090000
DTEND;TZID=America/Chicago:20250519T123000
DTSTAMP:20260415T045552
CREATED:20250330T162002Z
LAST-MODIFIED:20250518T164946Z
UID:10000732-1747645200-1747657800@wid.wisc.edu
SUMMARY:Intro to Deep Learning with Keras
DESCRIPTION:https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
URL:https://wid.wisc.edu/event/intro-to-deep-learning-with-keras-4/
LOCATION:Discovery Building\, 330 North Orchard Street\, De Luca Forum\, Madison\, WI\, 53715\, United States
CATEGORIES:Data Science Hub
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250519T090000
DTEND;TZID=America/Chicago:20250519T123000
DTSTAMP:20260415T045552
CREATED:20250330T200354Z
LAST-MODIFIED:20250518T170502Z
UID:10000733-1747645200-1747657800@wid.wisc.edu
SUMMARY:Intro to Deep Learning with Keras
DESCRIPTION:Hands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner\, so that upon completion\, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks\, and then go through the different steps of a deep learning workflow.\nCONTACT: facilitator@datascience.wisc.edu\nURL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
URL:https://wid.wisc.edu/event/intro-to-deep-learning-with-keras-5/
LOCATION:Orchard View Room\, Discovery Building
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250520T090000
DTEND;TZID=America/Chicago:20250520T123000
DTSTAMP:20260415T045552
CREATED:20250330T200354Z
LAST-MODIFIED:20250520T083602Z
UID:10000734-1747731600-1747744200@wid.wisc.edu
SUMMARY:Intro to Deep Learning with Keras
DESCRIPTION:Hands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner\, so that upon completion\, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks\, and then go through the different steps of a deep learning workflow.\nCONTACT: facilitator@datascience.wisc.edu\nURL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
URL:https://wid.wisc.edu/event/intro-to-deep-learning-with-keras-6/
LOCATION:Orchard View Room\, Discovery Building
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250521T090000
DTEND;TZID=America/Chicago:20250521T123000
DTSTAMP:20260415T045552
CREATED:20250330T200354Z
LAST-MODIFIED:20250521T141953Z
UID:10000735-1747818000-1747830600@wid.wisc.edu
SUMMARY:Intro to Deep Learning with Keras
DESCRIPTION:Hands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner\, so that upon completion\, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks\, and then go through the different steps of a deep learning workflow.\nCONTACT: facilitator@datascience.wisc.edu\nURL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
URL:https://wid.wisc.edu/event/intro-to-deep-learning-with-keras-7/
LOCATION:Orchard View Room\, Discovery Building
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250522T090000
DTEND;TZID=America/Chicago:20250522T123000
DTSTAMP:20260415T045552
CREATED:20250330T200354Z
LAST-MODIFIED:20250522T143449Z
UID:10000736-1747904400-1747917000@wid.wisc.edu
SUMMARY:Intro to Deep Learning with Keras
DESCRIPTION:Hands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner\, so that upon completion\, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks\, and then go through the different steps of a deep learning workflow.\nCONTACT: facilitator@datascience.wisc.edu\nURL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
URL:https://wid.wisc.edu/event/intro-to-deep-learning-with-keras-8/
LOCATION:Orchard View Room\, Discovery Building
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250527T090000
DTEND;TZID=America/Chicago:20250527T103000
DTSTAMP:20260415T045552
CREATED:20250507T163527Z
LAST-MODIFIED:20250527T143449Z
UID:10000752-1748336400-1748341800@wid.wisc.edu
SUMMARY:UW Research Software Engineering (RSE) Community town hall
DESCRIPTION:Join the community and connect with others interested in Research Software Engineering (RSE) at the first UW RSE community town hall.\nThe goal of the UW RSE community is to share ideas\, methods\, and best practices to improve the way we do and share research. The UW RSE community is open to anyone at UW–Madison engaged in\, or interested in\, research software engineering.\nCONTACT: rbemowski@wisc.edu
URL:https://wid.wisc.edu/event/uw-research-software-engineering-rse-community-town-hall/
LOCATION:Wisconsin Institutes for Discovery\, DeLuca Forum
END:VEVENT
END:VCALENDAR