Introduction

This hands-on machine learning tutorial is based on the event reconstruction challenges of the ALPHA-g experiment at CERN.

Our goal is to predict the position where antihydrogen atoms annihilate, a task known as vertex reconstruction.

Instead of building everything from scratch, you'll start from a fully working baseline model. This allows us to focus on:

• Understanding the physics and data.
• Exploring the model's design.
• Improve its performance.
• Experiment with more advanced ideas.

By the end of this tutorial, you'll have a clear picture of how deep learning can be applied to real-world problems, and you'll be ready to tackle your own machine learning projects.