Informace o publikaci

Innovation of University Subjects in Data Science Area within IT Academy Project

Autoři

ANTONI L. BRUOTH E. GUNIS J. GURSKY P. KRAJCI S. KRIDLO O. NAVRÁTIL Radim SNAJDER L. ANDREJKOVA G. SVEDA D.

Rok publikování 2018
Druh Článek ve sborníku
Konference 2018 16TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA)
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://ieeexplore.ieee.org/document/8572036
Doi http://dx.doi.org/10.1109/ICETA.2018.8572036
Klíčová slova Data mining; Data models; Data science; Training; Programming; Mathematics
Popis Data analysis solutions are already being used in many areas of technical, natural, humanitarian and economic sciences. Moreover, data analysis experts are already a scarce, and students with knowledge of Data Science have the potential to be highly desirable in the labor market. We present the data classification tasks and provide basic methods for measuring precision of classification. In conclusion, we bring a review of Data Science subjects that are introduced and innovated at universities within the IT Academy Project.

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.

Další info