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Publicação
Towards MLOps in a Startup Company
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Autores
Orientador(es)
Resumo(s)
Companies which have developed around a product or service built on top of
one or several machine learning applications will reach a point where the complexity
of these applications become unfeasible to manage manually. To approach a more
mature level of their machine learning applications these companies must start implementing
MLOps in their operations as well as orchestration tooling for building
durable and scalable machine learning pipelines. This paper presents how a startup
company in the marketing- and market research sector has taken their first steps
towards machine learning maturity by implementing MLOps practices and orchestration
with Apache Airflow.
Descrição
Mestrado Bolonha em Data Analytics for Business
Palavras-chave
MLOps Automation Machine Learning Pipelines Orchestration Apache Airflow DAGs Parallelization
Contexto Educativo
Citação
Ene, Emil Henricsson (2023). “Towards MLOps in a Startup Company”. Dissertação de Mestrado. Universidade de Lisboa. Instituto Superior de Economia e Gestão
Editora
Instituto Superior de Economia e Gestão