Practical applications of Machine Learning in modern Astronomy

17 Nov 2020, 09:00 → 18 Nov 2020, 16:00 Europe/Berlin

ZOOM (DESY)

During this interactive, online workshop, you will learn about common concepts and tools in modern ML, and work through examples of their application to problems in astronomical data analysis.

Tuesday 17 November

09:00 → 09:45 Introduction to Machine Learning: different types of machine learning algorithms, Theoretical background, practical aspects, structure and elements of (convolutional) neural networks

Speaker: Gal Matijevič

09:45 → 10:30 Unsupervised Learning I: application of t-SNE and clustering to big datasets

10:30 → 11:00 Break

11:00 → 12:30 Supervised Learning: practical introduction to convolutional neural networks and application to stellar magnitude regression (Part 1)

12:30 → 13:30 Break

13:30 → 15:00 Supervised Learning: practical introduction to convolutional neural networks and application to stellar magnitude regression (Part 2)

Wednesday 18 November

09:00 → 10:30 Unsupervised Learning II: autoencoders used on stellar spectra

10:30 → 11:00 Break

11:00 → 12:30 Supervised Learning II: solar image segmentation with convolutional neural networks

12:30 → 13:30 Break

13:30 → 15:00 Supervised Learning III: Generative Adversarial Networks (GANs) used to generate realistic galaxy images