### Abstract

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

Original language | English |
---|---|

Number of pages | 8 |

Publication status | Published - 7 Jul 2016 |

### Fingerprint

### 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.

Research output: Other contribution › Lecture notes › Research

}

TY - GEN

T1 - Mathematical Notations for Course LV 185.A83 Machine Learning for Health Informatics

AU - Holzinger, Andreas

PY - 2016/7/7

Y1 - 2016/7/7

N2 - 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 throughoutthe class to cover the extremely wide variety of data, models and algorithms discussed in this course. Definitions, conventions and usage of one and the sameexpression may be very different in mathematics and in computer science. Thisshort document outlines some of the used mathematical notations. Note that oneand the same symbol may have different meaning in different context

AB - 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 throughoutthe class to cover the extremely wide variety of data, models and algorithms discussed in this course. Definitions, conventions and usage of one and the sameexpression may be very different in mathematics and in computer science. Thisshort document outlines some of the used mathematical notations. Note that oneand the same symbol may have different meaning in different context

KW - Machine learning

KW - Health Informatics

M3 - Lecture notes

ER -