| KEYWORD |
Machine Learning anomaly detection applied to AML
Thesis in external company
Reference persons PATRIZIA SEMERARO
Research Groups Probabilita' e applicazioni
Description The purpose of this thesis is to analyze current research on anomaly detection applied to anti-money laundering, with particular focus on online gambling. The student will implement and compare supervised and unsupervised machine learning techniques. Basic knowledge of ML and a programming language (Matlab, Python,R) are preferred
Deadline 20/06/2023
PROPONI LA TUA CANDIDATURA