Teaching GuideTerm
Faculty of Computer Science
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Máster Universitario en Intelixencia Artificial
 Subjects
  Machine Learning I  
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Identifying Data 2022/23
Subject (*) Machine Learning I   Code 614544012
Study programme
Máster Universitario en Intelixencia Artificial
Descriptors Cycle Period Year Type Credits
Official Master's Degree 1st four-month period
First Obligatory 6
Language
English
Teaching method Face-to-face
Prerequisites
Department Ciencias da Computación e Tecnoloxías da Información
Coordinador
Rivero Cebrián, Daniel
E-mail
daniel.rivero@udc.es
Lecturers
Fernández Blanco, Enrique
Rivero Cebrián, Daniel
E-mail
enrique.fernandez@udc.es
daniel.rivero@udc.es
Web
General description This course presents an overview of machine learning. The syllabus explains the different techniques and methods, including supervised and unsupervised learning. In the practical part, real cases will be solved.
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.
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