| KEYWORD |
Evaluation of features for the development of machine learning models for microprocessor performance screening
Thesis in external company
keywords MACHINE LEARNING, TEST, PROCESSORS
Reference persons RICCARDO CANTORO, GIOVANNI SQUILLERO
Research Groups ELECTRONIC CAD & RELIABILITY GROUP - CAD
Thesis type EXPERIMENTAL
Description Thesis in collaboration with Infineon on a research project for the evaluation of production data to support the development of microprocessors performance prediction models. The work aims at selecting significant features and implementing efficient prediction models (classification, regression) using those features.
Required skills Python, basics of machine learning frameworks (sklearn, pytorch, tensorflow..)
Deadline 31/12/2022
PROPONI LA TUA CANDIDATURA