Autumn School on Machine Learning Tbilisi 2019

About

The autumn school on Machine Learning will be organized by the International Black Sea University with the support of Shota Rustaveli National Science Foundation of Georgia (SRNSFG). Autumn school web page: https://cte.ibsu.edu.ge/autumn/

Course leader

• Andres Masegosa Arredondo • Aymeric Dieuleveut • Björn Schuller • Manuel Gomez Rodriguez • Hermann Ney • Paolo Napoletano • Pedro Larrañaga

Target group

The intended audience of the autumn school includes BSc, MSc and Ph.D. students, researchers as well as industry professionals.

Course aim

In recent years, Machine Learning gained huge popularity because of interesting scientific and industrial applications. The purpose of the autumn school is to introduce participants the following core courses of machine learning:

• Probabilistic Programming with Deep Neural Networks
• Large-scale machine learning and convex optimization
• Deep Learning for Signal Analysis
• Social Network Analysis
• Machine translation
• Computer Vision
• Bayesian Networks: From Theory to Practice