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Technical Disclosure Commons
Defensive Publications Series
12 Dec 2017Machine Learning to Select Screen Brightness Level
Thomas Price
Ryan LerbaFollow this and additional works at: https://www.tdcommons.org/dpubs_seriesRecommended
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What is machine learning to select?
Machine learning to select is a process of using algorithms to automatically select a model or algorithm that is best suited for a specific task.
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Anyone working on a machine learning project or utilizing machine learning algorithms may be required to file machine learning to select.
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Machine learning to select can be filled out by analyzing the data, selecting the appropriate algorithms, and evaluating the performance to determine the best model.
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The information reported on machine learning to select may include the data analyzed, algorithms considered, model performance metrics, and rationale for selecting the final model.
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