Applied machine learning  

The course objective is to give to the student a general idea on how to develop a machine learning system. The course will cover aspects related to the model architecture, data collection and processing, until the deployment of the system. At the end of the course, the student is expected to be able to evaluate the feasibility of a simple machine learning project and he will be able to manage it deployment in all its phases. Theoretical lectures will be alternated with hands-on exercises in python.
Presential
English
Applied machine learning
English

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