BEGIN:VCALENDAR
VERSION:2.0
PRODID:-// - ECPv4.7.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.mdtechcouncil.com/membership/events
X-WR-CALDESC:Events for 
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190410T073000
DTEND;TZID=America/New_York:20190410T090000
DTSTAMP:20260506T175916
CREATED:20190401T160715Z
LAST-MODIFIED:20190401T160715Z
UID:1058-1554881400-1554886800@www.mdtechcouncil.com
SUMMARY:TechFast: Expand your Business with Fort Detrick Alliance
DESCRIPTION:\n\n\nFor this month’s TechFast\, Amanda Johnston with Fort Detrick Alliance will be sharing on how the tech community and business community can get involved with the Alliance AND Fort Detrick. Join us for a hot breakfast and networking before the interactive discussion. \nWednesday\, April 10 – 7:30 am to 9:00 am \nHagerstown Community College \nCareer Programs Building\, Rms 212-214 \n11400 Robinwood Drive\, Hagerstown\, MD  21742 \n  \nTo register online\, click here.\n\n\n\n
URL:https://www.mdtechcouncil.com/membership/events/calendar/techfast-expand-your-business-with-fort-detrick-alliance/
LOCATION:Hagerstown Community College\, Career Programs Building\, Rooms 212-214\, 11400 Robinwood Drive\, Hagerstown\, MD\, 21742\, United States
GEO:39.630176;-77.667316
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Hagerstown Community College Career Programs Building Rooms 212-214 11400 Robinwood Drive Hagerstown MD 21742 United States;X-APPLE-RADIUS=500;X-TITLE=11400 Robinwood Drive:geo:-77.667316,39.630176
CATEGORIES:Technology
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190410T080000
DTEND;TZID=America/New_York:20190410T093000
DTSTAMP:20260506T175916
CREATED:20190308T171345Z
LAST-MODIFIED:20190308T171345Z
UID:1030-1554883200-1554888600@www.mdtechcouncil.com
SUMMARY:Women In Baltimore\, Baltimore Meetup
DESCRIPTION:Come join WIB in their Baltimore Meetup on Social Media and Personal Interactions.  Learn how it affects advertising\, marketing\, and branding from a dynamic panel and great facilitator. \n
URL:https://www.mdtechcouncil.com/membership/events/calendar/women-in-baltimore-baltimore-meetup/
LOCATION:Univeristy of Maryland Baltimore\, 655 West Baltimore Street Hosick Lecture Hall\, Baltimore\, MD\, 21201\, United States
GEO:39.2890476;-76.6257278
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Univeristy of Maryland Baltimore 655 West Baltimore Street Hosick Lecture Hall Baltimore MD 21201 United States;X-APPLE-RADIUS=500;X-TITLE=655 West Baltimore Street Hosick Lecture Hall:geo:-76.6257278,39.2890476
CATEGORIES:Life Science
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190410T180000
DTEND;TZID=America/New_York:20190410T200000
DTSTAMP:20260506T175916
CREATED:20190501T160142Z
LAST-MODIFIED:20190501T160142Z
UID:1080-1554919200-1554926400@www.mdtechcouncil.com
SUMMARY:Human-Centered Machine Learning
DESCRIPTION:Our April meetup features a presentation\, Human-Centered Machine Learning\, by Patrick Hall of H2O.ai. Doors open at 6 pm. After a half-hour of networking and refreshments courtesy of meetup sponsor Allegis Group\, our program starts at 6:30 pm. \nPatrick’s presentation illustrates how to combine innovations from several sub-disciplines of machine learning research to train understandable\, observationally fair\, trustable\, and accurate predictive modeling systems. Techniques from research into fair models\, directly interpretable Bayesian or constrained machine learning models\, and post-hoc explanations can be used to train transparent\, observationally fair\, and accurate models. Additional techniques from fairness research can be used to check for disparate impact in model predictions and to preprocess data and post-process predictions to ensure the demographic parity of predictive models. Finally\, new testing and debugging techniques can increase the trustworthiness of model predictions on unseen data. These techniques create a new and truly human-centered type of machine learning suitable for use in business- and life-critical decision support. \n
URL:https://www.mdtechcouncil.com/membership/events/calendar/human-centered-machine-learning/
LOCATION:ETC Baltimore  101 N. Haven Street 3rd Floor · Baltimore\, mdE\, 101 N Haven Street 3rd Floor\, Baltimore\, MD\, United States
GEO:39.2941707;-76.5622792
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=ETC Baltimore  101 N. Haven Street 3rd Floor · Baltimore mdE 101 N Haven Street 3rd Floor Baltimore MD United States;X-APPLE-RADIUS=500;X-TITLE=101 N Haven Street 3rd Floor:geo:-76.5622792,39.2941707
CATEGORIES:Life Science
ORGANIZER;CN="Seth%20Grimes":MAILTO:grimes@altaplana.com
END:VEVENT
END:VCALENDAR