Fabian Ruehle (CERN, Geneva) will give a Lecture Series on "Machine Learning and its Applications" from October 7 - 11, 2019, in the Bethe Center for Theoretical Physics in Bonn.
Abstract: Machine Learning techniques, in particular neural networks, have become an integral part of our lives. Due to their versatile nature, they are applied in the private and
academic sector with tremendous success. In these lectures, I will first review the basic building blocks of neural networks and how they are trained. I will then discuss popular
neural network architectues and how they are used in unsupervised, semi-supervised and supervises machine learning. I will also intrudce other common machine learning techniques and
present example applications to problems in Physics (ranging from Astrophysics and Cosmology to Particle Physics, Mathematical Physics and String Theory). In the exercises, I will use
the techniques introduced in the lectures to solve simple problems in real time.
For more information please check the event webpage.