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X-WR-CALDESC:Events for Research Computing
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DTSTART;TZID=America/New_York:20261027T110000
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UID:3397-1793098800-1793102400@it.rutgers.edu
SUMMARY:REDCap intermediate topics
DESCRIPTION:Join us and explore some of the more advanced REDCap processes and features that can be used in your projects. \nLongitudinal events\, repeating instruments\, smart variables\, embedding fields\, alerts and notifications\, and advanced survey options will be demonstrated. \nLimited to 40 participants. \nContact redcap-help@oarc.rutgers.edu with any questions. \nRegister here
URL:https://it.rutgers.edu/research-computing/event/redcap-intermediate-topics-4/
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DTSTART;TZID=America/New_York:20261027T140000
DTEND;TZID=America/New_York:20261027T153000
DTSTAMP:20260916T125853Z
CREATED:20260915T202434Z
LAST-MODIFIED:20260916T125853Z
UID:3436-1793109600-1793115000@it.rutgers.edu
SUMMARY:Data visualization 2
DESCRIPTION:This session covers creating interactive visualizations with Shiny in RStudio\, delivering Shiny visualizations on the web\, and hosting a Shiny server. \nRegister here
URL:https://it.rutgers.edu/research-computing/event/data-visualization-2-2/
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DTSTART;TZID=America/New_York:20261027T160000
DTEND;TZID=America/New_York:20261027T180000
DTSTAMP:20260916T125836Z
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UID:3438-1793116800-1793124000@it.rutgers.edu
SUMMARY:Applied machine learning with SHAP
DESCRIPTION:Learn practical ML application to achieve a simple predictive model and performance interpretation through these key topics: \n\nWhen to use machine learning\nBasic model building\nModel evaluation and limitations\n\nAttendees will develop a simple predictive model with associated performance interpretation. \nRegister here
URL:https://it.rutgers.edu/research-computing/event/applied-machine-learning-with-shap/
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