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

• Gal Matijevič

Room: ZOOM

Unsupervised Learning I: application of t-SNE and clustering to big datasets Room: ZOOM

Supervised Learning: practical introduction to convolutional neural networks and application to stellar magnitude regression (Part 1) Room: ZOOM

Supervised Learning: practical introduction to convolutional neural networks and application to stellar magnitude regression (Part 2) Room: ZOOM

Unsupervised Learning II: autoencoders used on stellar spectra Room: ZOOM

Supervised Learning II: solar image segmentation with convolutional neural networks Room: ZOOM

Supervised Learning III: Generative Adversarial Networks (GANs) used to generate realistic galaxy images Room: ZOOM