| KEYWORD |
Trusted data collecting ecosystem for Machine Learning scenarios
Thesis in external company
keywords INTERNET OF THINGS (IOT), MACHINE LEARNING, NEURAL NETWORKS
Reference persons EDOARDO PATTI
External reference persons Alessandro Aliberti (alessandro.aliberti@polito.it)
Research Groups DAUIN - GR-06 - ELECTRONIC DESIGN AUTOMATION - EDA, ELECTRONIC DESIGN AUTOMATION - EDA, Energy Center Lab, GR-06 - ELECTRONIC DESIGN AUTOMATION - EDA
Thesis type RESEARCH, RESEARCH / EXPERIMENTAL
Description 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.
Required skills Python, WEB Programming
Deadline 15/02/2025
PROPONI LA TUA CANDIDATURA