Dátová veda a jej aplikácie
    Dátová veda a jej aplikácie

Dátová veda a jej aplikácie

E-book

Ľubomír Antoni a kol.

In university textbooks, we present the history of data science, basic concepts in artificial intelligence, machine learning, or deep learning. We describe the relationships between data science and other disciplines and summarize the tasks of the data scientist. We present an overview of university subjects in the field of data science, which were created and innovated at Slovak universities within the national project IT Academy - Education for the 21st Century. We present extended subject annotations, application examples and case studies using various methods in the field of data science. University textbooks are intended for students of bachelor's, master's, engineering and doctoral study programs in computer science, but also in non-informatics fields.

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Quantity

978-80-8152-917-7

Data sheet

Method of publication:
E-book (pdf)
Authors:
Dušan Šveda, Jozef Kapusta, Martin Drlík, Michal Munk, Ľubomír Benko, Martin Vozár, Vladimír Siládi, Michal Vagač, Peter Jankovič, Miroslav Kvaššay, Michal Kvet, Michal Varga
Ľubomír Antoni, Ján Paralič, Peter Butka, František Babič, Martin Sarnovský, Peter Bednár, Peter Gurský, František Galčík, Miroslav Opiela, Ondrej Krídlo, Miron Kuzma, Erik Bruoth, Juraj Šebej, Tomáš Kekeňák, Gabriela Andrejková,
Document type:
Course Notes
Number of pages:
188
Available from:
20.10.2020
Year of publication:
2020
Edition:
1st edition
Publication language:
Slovak
Faculty:
Prírodovedecká fakulta
Note:
Tento projekt sa realizuje vďaka podpore z Európskeho sociálneho fondu v rámci Operačného programu Ľudské zdroje. Spracované s finančnou podporou národného projektu IT Akadémia – vzdelávanie pre 21. storočie
License:
CC BY (Uveďte autora)
- Free for download

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