Monitoring
Monitoring refers to the process of observing and tracking the performance and behavior of a system or application over time. In the context of data science and artificial intelligence, monitoring is crucial for ensuring that models and algorithms are performing as expected and delivering accurate results. This involves tracking key metrics such as accuracy, precision, recall, and F1 score, as well as monitoring for issues such as overfitting, underfitting, and data drift. Monitoring can be done in real-time or on a periodic basis, and can involve the use of various tools and techniques such as logging, visualization, and alerting.
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