Machine learning for algebraists
- Sara Jamshidi Zelenberg (Illinois Institute of Technology, Chicago, USA)
In this talk, we present a set of techniques from machine learning relevant to algebraists with potential applications. We provide an overview of some 'best practices' used in other ML domains and provide some sample code. In addition, we demonstrate the potential with some preliminary results of ongoing work with Petrovic and Stasi. Attendees are encouraged to come with their laptops if possible.