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Detalhe da Disciplina
Curso: Licenciatura em Sistemas e Tecnologias de Informação
Unidade curricular: Machine Learning
Semestre: Primavera
Número de créditos: 6,0
Número de horas de aula por semana: 1.50
Objetivos da unidade curricular:

The curricular unit of machine learning has as primary goal to allow students to gather skills in extracting information and knowledge from large databases. The success of information systems over the last decades promoted huge databases. These databases have the potential to foster the development and significantly increase the wealth of our society, allowing problems resolution. Generally, we can say that these data repositories can provide precious resources on improving the quality of decision making. Thus, this course addresses the topics and issues typically associated with designations of "Machine learning " or "Data mining ".
This field has been developing rapidly and has become central in various activities. Its contribution extends the scientific marketing research, constituting a very significant body of knowledge and is still expanding.

In this course, the main methodological aspects of "machine learning" and the most important tools are used, including artificial neural networks, classification trees, among others. The aim is also to provide students the opportunity to develop practical skills of problem solving. In this context the students will use Python to carry out a set of tasks modelling and extraction of knowledge.

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.