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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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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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. |
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English |
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author |
Juszczuk, Przemyslaw, Kozak, Jan, |
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Juszczuk, Przemyslaw, Kozak, Jan, Entropy in Real-World Datasets and Its Impact on Machine Learning / |
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Juszczuk, Przemyslaw, Kozak, Jan, Kozak, Jan, |
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VerfasserIn VerfasserIn |
author2 |
Kozak, Jan, |
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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 |
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Q325 |
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Q 3325.5 J879 42023 |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
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000 - Computer science, knowledge & systems |
dewey-ones |
006 - Special computer methods |
dewey-full |
006.31 |
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16.31 |
dewey-raw |
006.31 |
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006.31 |
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Entropy in Real-World Datasets and Its Impact on Machine Learning / |
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