Giving Blueday is today! Please consider making a donation to MDST at https://t.co/eDaXQFIQ3U. With your help, we will be able to support membership growth, run more advanced projects, and organize more events towards improving access to data science and ML in the UM community.
We’re excited have a record-breaking 209 members of MDST with us this semester! Looking forward to all the cool projects our members will be putting out
Thank you to those who came out to our project expo, and to all our members for a great semester! We would also like to thanks our sponsors @TechAtBloomberg@TheDewberryWay and @rapidcanvas for making this all possible!
Thank you as well to Ivo Vigan for presenting a technical talk on AI research at Bloomberg! This was a great first event and we’re excited to plan future collaborative events.
Thank you to our gold tier sponsors, @TechAtBloomberg , for supporting MDST and providing our members insight into the cutting-edge use of data science at Bloomberg.
We are so excited to announce Climate Hack . AI: an international competition between the student communities of 25 of the best universities in the world, seeking to build real artificial intelligence-based models to make a real difference to the climate!
If you're a Michigan student and interested in participating, fill out this form to stay posted! (You don't have to be a part of MDST)
https://t.co/RMAyN5egqB
The first MDataHack was an absolute success! Thank you for everyone who was able to come out and join us! These were some challenging datasets and the work that these 28 teams were able to accomplish in just 24 hours was extremely impressive!
Come join us at MData Hack! Registration is now live at https://t.co/mT90SfNpNK. Analyze datasets, make real-world impact, win prizes! All in just 24 hours!
MDST's community projects are highlighted in a #DataScience interim report by @theNASEM, https://t.co/0HIx7MIQ5u ``The @mdst_umich at @UMich ... Students collect and analyze data in the context of an application with high impact on local community or society.``
A few of us at @UMich initiated a collaboration with Flint gov. to help them with data analysis and proposing data-driven solutions to the #FlintWaterCrisis. It is estimated our algorithms could save ~11% ($11M out of current spending). @michigan_AI https://t.co/ZT9dhRZ6VY