Helicopter data science - From concepts to applications

Abstract

This paper presents three application use cases of Machine Learning (ML) - under different forms: classification, regression and clustering - in order to improve the exploitation of helicopter data in different business problems. In each use case a real data is used and promising results are highlighted. After presenting the use cases and obtained results, conclusions address the perspectives as well as the challenges that ML and data science in general open in terms of learning from experience for helicopter continuous improvement.