MLCourse-2425

Material for the course "Big Data Science and Machine Learning" of the academic year 2024-2025 for the Graduate Program in Physics of the University of Turin, held on Nov 24th-28th, 2025.

Pre-requisites

• Basic knowledge of python

Before the course starts

• We will be using python, in particular I advise you to get familiar with Jupyter notebooks, numpy and pandas before the course starts. No expert knowledge is required, but doing a couple of tutorials on these topics (easily found on the web) is highly recommended.
• We will use github for authentication on JupyterHub.
  • Please send us your github account.
  • The username should not contain any special character, such as -, _, ., etc.
  • If it does, please create a new account that fulfills the requirements.

Practicalities

• The course will be held on site, and it will not be possible to attend remotely. To pass the course you need to follow 80% of the lessons and pass the final test.
• Every day we will have a mixture of theoretical and hands-on sessions. The last day we will have only hands-on with exercises, which will also be the test for those who needs to get CFU credits.

Schedule:

• The lectures will take place on Nov 24th-28th in Aula Castagnoli from 14:00 to 16:00.
• The exam can be turned in up to Jan. 6th

Hands-on session

• point your browser to https://yoga.to.infn.it/
• you will need to authenticate through your GitHub account (please read this first)
• on the first day, open a terminal and clone this repository:

git clone https://github.com/Course-bigDataAndML/MLCourse-2425.git

• The Jupyter notebook documentation can be found here