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Machine Learning Model Online Deployment in Azure

Dario Avalle

Machine Learning Model Online Deployment in Azure.

Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Abstract:

Conducted during a six-month internship at Amadeus IT Group, a leader in the travel economy, this thesis explores the deployment of machine learning models in cloud environments, specifically Microsoft Azure. It addresses challenges in serialization and analyzes different formats, including PMML, ONNX, and MLflow, comparing their key strengths and limitations. It also proposes solutions for deploying models as cloud microservices, highlighting potential improvements in flexibility and efficiency compared to an in-house backend deployment.

Relatori: Paolo Garza
Anno accademico: 2023/24
Tipo di pubblicazione: Elettronica
Numero di pagine: 47
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Data Science And Engineering
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-32 - INGEGNERIA INFORMATICA
Ente in cotutela: INSTITUT EURECOM (FRANCIA)
Aziende collaboratrici: AMADEUS SAS
URI: http://webthesis.biblio.polito.it/id/eprint/31104
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