Machine Learning in Heliophysics
16 - 20 September 2019
Amsterdam, The Netherlands
ABSTRACT SUBMISSION IS NOW OPEN - Deadline 1st April 2019
Machine The goal of this first ML- Helio conference is to leverage the advancements happening in disciplines such as machine learning, deep learning, statistical analysis, system identification, and information theory, in order to address long-standing questions and enable a higher scientific return on the wealth of available heliospheric data.
The conference will consists of classic-style lectures, complemented by hands-on tutorials on Python tools and data resources available to the heliophysics machine learning community.
For more detail visit the website.