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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Intelligent Music Player for Android
 Tomášek, Michal ; Rozman, Jaroslav (referee) ; Kalmár, Róbert (advisor)
Today's market is full of different kinds of music players. However there is no music player using prediction, which would be able to work with usual usage and in real time. This bachelor's thesis deals with the design and implementation of a music player with implemented prediction. The creation of high quality architecture for this application and the choice of appropriate prediction algorithm are emphasized. At first, the category of methods of machine learning and afterwards the algorithm are determined. The final prediction algorithm is divided into a several sections, therefore it is necessary to pick or create a solution for all its parts. The outcome of this project is the music player for Android OS which would be able to predict and learn from a user interaction in real time.
Detailed record
Intelligent Music Player for Android
 Tomášek, Michal ; Rozman, Jaroslav (referee) ; Kalmár, Róbert (advisor)
Today's market is full of different kinds of music players. However there is no music player using prediction, which would be able to work with usual usage and in real time. This bachelor's thesis deals with the design and implementation of a music player with implemented prediction. The creation of high quality architecture for this application and the choice of appropriate prediction algorithm are emphasized. At first, the category of methods of machine learning and afterwards the algorithm are determined. The final prediction algorithm is divided into a several sections, therefore it is necessary to pick or create a solution for all its parts. The outcome of this project is the music player for Android OS which would be able to predict and learn from a user interaction in real time.
Detailed record

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