Introduction to machine learning for heliophysics, including an outlook to recent models in machine learning with potential applications to heliophysics.
During the school the new instruments developed during the EC Horizon 2020 AIDA project will be shown: AIDApy and AIDAdb. These tools are open source software and were designed to simplify the use of machine learning in any heliophysics application. In particular the school will show how to use the main developed modules on AIDApy.
improve skills on machine learning for heliophysics and learn using the two AIDA developed instruments in this field
Python, numerical methods (statistics), Machine/Deep Learning concepts
The number of participants is limited to 25 students.
Applicants will be selected according to their experience, qualifications and scientific interest BASED ON WHAT WRITTEN IN THE REGISTRATION FORM.
Please use the "Reason for Participation" field for writing your background and for motivating your subscription.
APPLICATION DEADLINE: DEC 23rd 2021
STUDENTS ADMITTED AND NOT ADMITTED WILL BE CONTACTED VIA EMAIL ON JAN 10th 2022.
IF YOU SUBMITTED AND DIDN'T RECEIVE THE EMAIL AT THAT DATE, PLEASE WRITE AT email@example.com.