Four days of lectures and hands-on exercises covering a range of data analysis topics from introduction to python and data pre-processing to advanced machine learning analysis techniques. Example topics include:
Hands-on exercises will include practical use of machine learning tools on real materials experimental data (scalar values, spectra, micrographs, etc.)
Scientists will also demonstrate how they performed recently published research, from loading and preprocessing data to analyzing and visualizing results, all in Jupyter notebooks. Day 4 will include hand-on exercises on how to use the AFLOW database online.
Topic: Workshop on Advanced ML Techniques for Materials Discovery
The bootcamp will run daily from 9:00am - 5:00pm (EDT). It will be live on zoom, and recorded sessions will be made available to participants afterwards.
Thursday evening bootcamp dinner and poster session (Kim Engineering Building Rotunda). This year, we will resume the poster session: “Machine Learn This.” Please bring a poster (optional) and let us know the title of your poster.
If you are a student (graduate, undergraduate, or high school), write to us first at firstname.lastname@example.org, so we can send you a student discount code BEFORE you register. Write to us also for an academic discount code if you work at an academic institution (university, etc.) BEFORE you register.
If you are planning to attend via Zoom online, there is a discount for this also. Please write to ask for this code BEFORE you register.
Fee: $230 - read above for discount options
This year's event will be hybrid with in-person meetings taking place at the Edward St. John Learning and Teaching Center (room 2204) at the University of Maryland, College Park campus, while simultaneously meeting via Zoom (daily from 9am - 4:30pm).