5^th World Machine Learning and Deep Learning Congress

Biography

Nabil BELGASMI holds a PhD and an Engineering Degree in Computer Science from Manouba University. He is a full stack data scientist at Banque de Tunisie. He is involved in 3 main activities: (a) Applied R&D, (b) Data Analytics Technology Watch and (c) Data Science consulting. He achieved many successful Data Science POCs and Quick-Wins: Credit Scoring, Forecasting, Cash Planning, Anomaly/Fraud Detection, Customers Profiling, Intelligent Transactions Scoring & Monitoring, etc. He is member of the industrial editorial board of the Engineering Applications of Artificial Intelligence journal (EAAI) and advisor of the 4th international conference on Next Generation Computing Technologies.

Abstract

Abstract : Multiobjective deep reinforcement learning approach for ATM cash replenishment planning