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Entropy in Real-World Datasets and Its Impact on Machine Learning
Kozak, Jan ; Juszczuk, Przemyslaw (Author)
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Mdpi AG
· Hardcover
Entropy in Real-World Datasets and Its Impact on Machine Learning - Kozak, Jan ; Juszczuk, Przemyslaw
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Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Friday, August 09 and
Wednesday, August 21.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Entropy in Real-World Datasets and Its Impact on Machine Learning"
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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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