News & Events
Group Discussion – Machine Learning and Neural Networks
Professional Development Opportunities
Date: May 28, 2020
Time: 1:00pm - 2:30pm
Machine Learning and Neural Networks
Thursday, May 28th, 2020
Discussion Topic: Group Discussion of Neural Networks and Machine Learning
Lead: Mark Richardson
Overview: As problems continue to require more data to solve, analysis of this data has become time-intensive. As a result, machine learning, the ability for a computer program to learn features of the dataset to expedite the analysis process, has become essential. From digitizing text, to classifying supernovae, and everything in between machine learning will play a huge part of the future of science. For this discussion session we will start a conversation about machine learning, both supervised and unsupervised, and then discuss neural networks in some detail. The format will be a discussion, where people can speak to their own experience implementing machine learning tools. Next week we will dive into some of the tools that exist and let people try them out at home. For this discussion, I encourage you to reflect on how you’ve used machine learning in your research etc. I also recommend the 3blue1brown series on neural networks: https://www.3blue1brown.com/neural-networks.
For connection information, please register by emailing Mark Richardson.
Tools from the Couch
Tools from the Couch is an opportunity to share the diverse expertise that exists in the department and broader community on different computational (or otherwise!) tools that we use for our research. This is an extension of but includes the Data Science Groups from past terms. Weekly sessions on different topics are held every Thursday at 1:00pm EDT on zoom.