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Detalhe da Disciplina
Curso: Mestrado em Métodos Analíticos Avançados
Unidade curricular: Aprendizagem Automática
Semestre: Outono
Número de créditos: 7,5
Número de horas de aula por semana: 3.00
Objetivos da unidade curricular:

The curricular unit of machine learning has as primary goal to allow students to gain a fundamental understanding of the art and science of Predictive Analytics as it relates to improving business performance.
This course will cover the basics of predictive analytics and modeling data to determine which algorithms to use. Understand the similarities and differences and which options affect the models most.
Topics covered include predictive analytics algorithms for supervised learning, including decision trees, neural networks, k-nearest neighbor, support vector machines, and model ensembles.
At the end of the course, participants will be able to use these skills to produce a fully processed data set compatible with building powerful predictive models that can be deployed to increase profitability.

Requisitos de frequência:

No requirements are needed

Língua de ensino: Português. Em caso de existirem alunos ou professores estrangeiros, as aulas serão dadas em Inglês.

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