| KEYWORD |
Trusted data collecting ecosystem for Machine Learning scenarios
Tesi esterna in azienda
Parole chiave INTERNET OF THINGS, MACHINE LEARNING, NEURAL NETWORKS
Riferimenti EDOARDO PATTI
Riferimenti esterni Alessandro Aliberti (alessandro.aliberti@polito.it)
Gruppi di ricerca DAUIN - GR-06 - ELECTRONIC DESIGN AUTOMATION - EDA, ELECTRONIC DESIGN AUTOMATION - EDA, Energy Center Lab, GR-06 - ELECTRONIC DESIGN AUTOMATION - EDA
Tipo tesi AZIENDALE, RICERCA
Descrizione Machine Learning, such as Neural Networks, requires a huge amount of data. The datasets must not only be large but also reliable and representative. Often, trust and robust datasets are scarce in research and industry scenarios. Today, more than ever, there is a need to build an open ecosystem for collecting robust and reliable data. The aim is to create a digital platform for community development based on the free exchange of data from sensors (i.e. real and simulated).
Within this framework, the student will analyse the literature solution to explore the state of the art of methodologies. In addition, the student will take part in the design and development of this platform (or part of it) and will develop some Neural Network models to test the data collected.
Conoscenze richieste Python, WEB Programming
Scadenza validita proposta 15/02/2025
PROPONI LA TUA CANDIDATURA