These best practices keep complex models reliable. Agile development ... monitoring provides data scientists visibility on model performance. ML monitoring is especially important when models ...

Understanding competitor motivations and behaviors helps shape product development ... will require more exhaustive efforts for data collection and analysis. These can include both quantitative ...

Threat-hunting model maturity depends on the quality and quantity of the data the company collects, which includes the visualization and analysis ... and begins with the development of a ...

Data analysis ... how the models work, so that they can establish which information is useful. They’re also needed to provide an ethical and moral dimension to decision-making, which data alone can’t ...

Shaking table tests. Seismic performance. Abstract: This report describes the formulation, implementation and validation of multi-spherical sliding bearing models proposed for response history ...