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"item_title" : "Entropy in Real-World Datasets and Its Impact on Machine Learning",
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Entropy in Real-World Datasets and Its Impact on Machine Learning
by Jan Kozak and Przemyslaw Juszczuk
Overview
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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Details
- ISBN-13: 9783036578484
- ISBN-10: 303657848X
- Publisher: Mdpi AG
- Publish Date: June 2023
- Dimensions: 9.61 x 6.69 x 0.88 inches
- Shipping Weight: 1.76 pounds
- Page Count: 278
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