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 chara...

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Detalles Bibliográficos
Otros Autores: Juszczuk, Przemyslaw, author (author), Kozak, Jan, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Place of publication not identified] : MDPI - Multidisciplinary Digital Publishing Institute 2023.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009754413506719
Descripción
Sumario: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.
Descripción Física:1 online resource (278 pages)