Aprendizagem Automática em Engenharia Biomédica

In the end of this curricular unit, the student should:

• Know the history of Machine learning and the inspiration connection points to the biological systems.

• Be able to understand the global functioning mechanisms of the most relevant machine learning algorithms.

• Distinguish between supervised and non-supervised machine learning.

• Know statistical and neuronal methods for solving machine learning problems.

• Be able to model a problem in the context of machine learning methods

• Be able to use machine learning tools to solve biomedical engineering problems

Be able to report and interpret the evaluation of a machine learning system