Teaching GuideTerm
Faculty of Computer Science
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Máster Universitario en Intelixencia Artificial
 Subjects
  Machine Learning II 
   Recommendations

Subjects that it is recommended to have taken before
Machine Learning I  /614544012

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments

The students should be familiar with mid-level programming concepts, linear algebra, calculus and stadistics. The knowledge of basic concurrence and parallel architecture is also helpful

Equality:

According to the various applicable regulations for university teaching, the gender perspective should be incorporated into this subject (using non-sexist language, using bibliographic references from authors of both genders, encouraging the participation of male and female students in class).

Efforts will be made to identify and modify prejudices and sexist attitudes, and the environment will be influenced to change them and promote values of respect and equality.

Situations of gender-based discrimination should be identified, and actions and measures should be proposed to correct them.

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