| KEYWORD |
Area Architecture
Motosport Data Analysis: applications of Machine Learning and Data Science techniques to improve race performance
keywords DATA ANALYSIS, DATA MANAGEMENT, MACHINE LEARNING
Reference persons SILVIA ANNA CHIUSANO, LORENZO PERONI
Research Groups DAUIN - GR-04 - DATABASE AND DATA MINING GROUP - DBDM
Description The pursuit of performance is a dominant aspect in Motorsport, in which each detail plays a crucial role. This thesis proposes a research study to support the analysis of data generated on track, including data management and visualization. A special focus concerns the application of Machine Learning techniques and the implementation of strategic automation tasks for specific critical processes. The candidate will be in contact with the 2Wheels PoliTO team, having the opportunity to study and apply these technologies in a practical context, supporting the team in improving race strategies and optimizing the resources related to their motorbike.
Deadline 16/02/2025
PROPONI LA TUA CANDIDATURA