Past Meetup

Machine Learning Live!

This Meetup is past

125 people went

Details

Join us in January for a live machine learning work through based on collected data from our members about their interests.

Please complete a quick survey [ https://esurv.org/?s=MNJLFK_2fc3e25f ] to help make this event a success!

Agenda
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6:30 PM -- Networking & Food

7:00 PM -- Greetings

7:05 PM -- Machine Learning Live - John Hebeler

Location
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Praxis
135 National Business Pkwy, Annapolis Junction, MD 20701

Directions
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There is ample parking around the building. Please enter through the first or second floor and take the elevator to the third floor. Upon exit, turn right to proceed to the meeting room.

Talks
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Machine Learning Live!
See machine learning surprises revealed live - from the hypotheses to the validations (or failures) directly built upon our meetup’s survey data. This includes clustering on unsupervised data, classification on hypothesized labeled data, and regression analysis using both traditional and deep learning machine learning methods. We explore the code to preprocess the data, format the data for machine learning, perform machine learning with multiple methods, and then validate, determine performance, and possibly visualize the outcome. All based on your live suppositions. You see how or how not your data science hunches perform. Code and data will be available for you to take machine learning adventures even further.

Speakers
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John Hebeler, PhD is a Lockheed Martin Fellow focusing on abnormalities across large data sets via multiple machine learning methods. Formally, he led a five-year program to analyze large data streams to form complex policies in an event-driven architecture. John holds three patents and coauthored two technical books and multiple journal articles on networking, data semantics, and machine learning. He also teaches graduate technology courses for University of Maryland. John holds a BS in Electrical Engineering, an MBA, and a PhD in Information Systems. In his free time, he’s an avid tennis player, beer brewer, and amateur audiophile, usually not simultaneously