Entropy in Real-World Datasets and Its Impact on Machine Learning / / by Przemyslaw Juszczuk, Jan Kozak.

The topic of the reprint is very important nowadays, because ever-evolving machine learning techniques make it possible to obtain better real-world data. Therefore, this reprint contains information related to real data in fields such as automatic sign language translation, bike-sharing travel chara...

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TeilnehmendeR:
Place / Publishing House:[Place of publication not identified] : : MDPI - Multidisciplinary Digital Publishing Institute,, 2023.
Year of Publication:2023
Language:English
Physical Description:1 online resource (278 pages)
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spelling Juszczuk, Przemyslaw, author.
Entropy in Real-World Datasets and Its Impact on Machine Learning / by Przemyslaw Juszczuk, Jan Kozak.
[Place of publication not identified] : MDPI - Multidisciplinary Digital Publishing Institute, 2023.
1 online resource (278 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Description based on publisher supplied metadata and other sources.
The topic of the reprint is very important nowadays, because ever-evolving machine learning techniques make it possible to obtain better real-world data. Therefore, this reprint contains information related to real data in fields such as automatic sign language translation, bike-sharing travel characteristics, stock index, sports data, fake news data, and more. However, it should be noted that the reprint also contains a lot of information on new developments in machine learning, new algorithms, algorithm modifications, and a new measure of classification quality assessment that also takes into account the preferences of the decision maker.
Entropy.
Machine learning.
3-0365-7849-8
Kozak, Jan, author.
language English
format eBook
author Juszczuk, Przemyslaw,
Kozak, Jan,
spellingShingle Juszczuk, Przemyslaw,
Kozak, Jan,
Entropy in Real-World Datasets and Its Impact on Machine Learning /
author_facet Juszczuk, Przemyslaw,
Kozak, Jan,
Kozak, Jan,
author_variant p j pj
j k jk
author_role VerfasserIn
VerfasserIn
author2 Kozak, Jan,
author2_role TeilnehmendeR
author_sort Juszczuk, Przemyslaw,
title Entropy in Real-World Datasets and Its Impact on Machine Learning /
title_full Entropy in Real-World Datasets and Its Impact on Machine Learning / by Przemyslaw Juszczuk, Jan Kozak.
title_fullStr Entropy in Real-World Datasets and Its Impact on Machine Learning / by Przemyslaw Juszczuk, Jan Kozak.
title_full_unstemmed Entropy in Real-World Datasets and Its Impact on Machine Learning / by Przemyslaw Juszczuk, Jan Kozak.
title_auth Entropy in Real-World Datasets and Its Impact on Machine Learning /
title_new Entropy in Real-World Datasets and Its Impact on Machine Learning /
title_sort entropy in real-world datasets and its impact on machine learning /
publisher MDPI - Multidisciplinary Digital Publishing Institute,
publishDate 2023
physical 1 online resource (278 pages)
isbn 3-0365-7849-8
callnumber-first Q - Science
callnumber-subject Q - General Science
callnumber-label Q325
callnumber-sort Q 3325.5 J879 42023
illustrated Not Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 006 - Special computer methods
dewey-full 006.31
dewey-sort 16.31
dewey-raw 006.31
dewey-search 006.31
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