Machine Learning Practice

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Machine learning practice

This month, we will continue our exploration of machine learning by working in small groups through some of the techniques that Ben demonstrated last month. We will work together to implement some of the models (and variations) to see how to fit machine learning models to data, assess their predictive power, and improve them. You don't need to have attended the meetups in previous months to come to this one. If you want a refresher Ben's slide and code are available https://github.com/rug-gnv/machine-learning-overview

Hours

Doors open at 6:15pm. Food will be served. Meeting starts at 6:30pm.

Refreshments provided by the UF Informatics Institute

Map of the location

https://goo.gl/maps/jdG9PSxKFDz

http://campusmap.ufl.edu/#/index/0042

Code of Conduct

The Gainesville R Users Group is dedicated to providing a harassment-free environment for everyone, regardless of gender, sexual orientation, disability, physical appearance, body size, race, nationality, religion, or choice of text editor. We do not tolerate harassment of participants in any form.

Harassment includes offensive verbal comments related to gender, sexual orientation, disability, physical appearance, body size, race, religion, sexual images in public spaces, deliberate intimidation, stalking, following, harassing photography or recording, sustained disruption of talks or other events, inappropriate physical contact, and unwelcome sexual attention. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate for any event. Be kind to others. Do not insult or put down other attendees. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate.

Participants asked to stop any harassing behavior are expected to comply immediately. Attendees violating these rules may be asked to leave the event at the sole discretion of the conference organizers without a refund of any charge that may have been levied.

Thank you for helping make this a welcoming, friendly event for all.

[Adapted from the Software Carpentry code of conduct.]