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University of West Bohemia
Faculty of Applied Sciences
Department of Computer Science and EngineeringBachelors thesis
Data Augmentation for
Biological Signal ProcessingPlze 2022Vclav HrabkZPADOESK
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What is machine learning data augmentation?
Machine learning data augmentation is a technique used to increase the size of a training dataset by creating modified versions of the existing data.
Who is required to file machine learning data augmentation?
Organizations or individuals using machine learning techniques and implementing data augmentation methods are required to file machine learning data augmentation.
How to fill out machine learning data augmentation?
Machine learning data augmentation can be filled out by documenting the techniques used to create augmented data, the original dataset, and the justification for using data augmentation.
What is the purpose of machine learning data augmentation?
The purpose of machine learning data augmentation is to improve the performance and generalization of machine learning models by providing them with a larger and more diverse training dataset.
What information must be reported on machine learning data augmentation?
The information to be reported on machine learning data augmentation includes the techniques used for data augmentation, the impact on the model's performance, and any potential biases introduced during the augmentation process.
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