An exploratory study on machine learning frameworks

• Caio Flexa Instituto Tecnológico Vale
• Walisson Gomes Instituto Tecnológico Vale
• Sergio Viademonte Instituto Tecnológico Vale

DOI: https://doi.org/10.5753/wperformance.2019.6476

Resumo

This document describes a preliminary study on computing frameworks and technologies, for the purpose of developing machine learning (ML) system applications. Several frameworks, application programming interfaces and programming libraries for ML algorithms have been developed in the last few years, in a relatively short period of time, making difficult a decision on which one to chose in a particular application. This study reviews some criteria and performs a preliminary evaluation of some of the most used ML technologies for developing system applications, with the purpose to guide and facilitate the decision on which of them to apply, given a particular application.

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