PREDNASAJUCI / LECTURER :

Lubomir Hambalek

(1) Astronomical Institute, Slovak Academy of Sciences,
059 60 Tatranská Lomnica

NAZOV / TITLE :

Applications of a linear regression neural model in Python

ABSTRAKT / ABSTRACT :

Python programming language has an increased usage in astronomy
and astrophysics, especially when accessing data from public sources.
The most useful feature aside that it is free, is the access to many
high-level libraries specifically tied to scientific research and
astronomy.

In this lecture, I will present some astronomical applications of
the language, mainly its useful variant - the Jupyter notebook. The
specific topic is the machine-learning library 'scikit-learn'. This
provides simple and efficient tools for predictive data analysis.
The most general and the most simple case is the linear regression
model. This could be trained on a large enough set of data.
Subsequently we are able to make prediction of values of target
variable(s) or see, if there are trends in the big set that are not
so easy to spot.