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Unguided Machine Learning for Fast and Accurate Network Alarm Triage *Salem America, Bong shin Lee, Ashish Poor, Raoul Malayan, Blaine Christian Microsoft Research Redmond, WA bong shin, aka poor,
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Start by understanding the purpose and benefits of human-guided machine learning.
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Human-guided machine learning is used to combine human expertise with machine learning algorithms to achieve more accurate results.
Any individual or organization using human-guided machine learning to train algorithms is required to file.
To fill out human-guided machine learning, one must report the specific details of the training data and the human input involved.
The purpose of human-guided machine learning is to improve the accuracy and efficiency of machine learning models by incorporating human knowledge and expertise.
The information that must be reported includes details of the training data used, the specific human guidance provided, and any outcomes or improvements achieved.
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