4 terms

Edge AI

Edge AI is the deployment of artificial intelligence algorithms directly on devices at the edge of a network, near the data source, rather than relying on centralized cloud servers.

End-to-End ML

End-to-End ML is a machine learning approach that covers the entire pipeline from raw data input to final model deployment in a seamless, integrated workflow.

End-to-End Testing

End-to-End Testing is a comprehensive software testing method that validates the entire application flow from start to finish to ensure all components work together as expected.

Experiment Tracking

Experiment tracking is the systematic process of recording, monitoring, and managing the details and outcomes of experiments to ensure reproducibility and informed decision-making.