Machine and Deep Learning
@ INAF-IASF Milano

"Machine and Deep Learning" is a series of lessons designed for both researchers and students who want to either get started with these techniques or deepen their knowledge if they are already familiar with the basics. It will cover a wide range of topics relevant to Machine and Deep Learning, beginning with an introduction to the mathematical tools necessary for implementing algorithms and extending to applications in the field of astrophysics.

These lessons will be conducted by Dr. Umberto Michelucci.

The program consists of morning theoretical lessons and afternoon hands-on practical exercises using Python. The in-person capacity for the practical part is limited to 20 people, but the option to attend the hands-on sessions remotely will be available.

For the theoretical lessons, both in-person and remote attendance are open to everyone.

The course participation is provided at no cost.

At the end of the week, a certificate of participation will be issued.

Due to limited resources, neither coffee breaks nor lunch will be provided.

A modern (not older than 3-4 years) laptop with any operating systems: windows, mac or linux.

An installation of Python on the laptop (any can do, from the classical pip based one, to Anaconda). If an installation is not available or not possible the user will be able to run the examples on Google Colab but it will entail more work during the hands-on.

A basic to intermediate experience with Python and a basic experience with Jupyter notebooks is expected. If not, preparation online courses are available at the page Materials (also accessible from the menu)