Machine and deep learning techniques in heavy-ion collisions with ALICE

Understand

Over the last years, machine learning tools have been successfully applied to a wealth of problems in high-energy physics.

• A typical example is the classification of physics objects.
• Supervised machine learning methods allow for significant improvements in classification problems by taking into account observable correlations and by learning the optimal selection from examples, e.g.
• from Monte Carlo simulations.