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  KEYWORD

Trusted data collecting ecosystem for Machine Learning scenarios

azienda 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 15/02/2023      PROPONI LA TUA CANDIDATURA




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