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The aim of this one-week tutorial session is to lay the scientific foundations for the various workshops and events of the program. It will concentrate on two aspects:
- data sciences and machine learning methods in a broad sense, starting from basic methods such as principal component analysis and clustering methods, to more advanced topics related to kernel methods, neural networks, generative techniques and reinforcement learning to name a few.
- the construction and usage of databases of interest for materials science.
The tutorial session will include both lectures and hands-on sessions.