The bootcamp consists of three days of lectures and hands-on exercises covering a range of data analysis topics from data pre-processing through advanced machine learning analysis techniques. Example topics include:
The hands-on exercises will focus on demonstrating practical use of machine learning tools on real materials data. Attendees will learn to analyze a range of data types from scalar properties such as material hardness to high dimensional spectra and micrographs.
The workshop will feature talks by top researchers in the field as well as open discussions in which attendees can discuss their data analysis needs with experts. Program for the Workshop is to be announced on a later date.