Mathematical Notations for Course LV 185.A83 Machine Learning for Health Informatics

Research output: Other contributionLecture notesResearch

Abstract

Machine learning (ML) is a very practical field. Consequently, the theoreticalmathematical content of the course 185.A83 ”Machine Learning for Health Informatics” is kept to a minimum. It is hard to keep a consistent notation throughout
the class to cover the extremely wide variety of data, models and algorithms discussed in this course. Definitions, conventions and usage of one and the same
expression may be very different in mathematics and in computer science. This
short document outlines some of the used mathematical notations. Note that one
and the same symbol may have different meaning in different context
LanguageEnglish
Number of pages8
StatusPublished - 7 Jul 2016

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Learning systems
Health
Computer science
Data structures

Keywords

  • Machine learning
  • Health Informatics

ASJC Scopus subject areas

  • Artificial Intelligence

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)

Cite this

Mathematical Notations for Course LV 185.A83 Machine Learning for Health Informatics. / Holzinger, Andreas.

8 p. 2016, .

Research output: Other contributionLecture notesResearch

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