An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Abstract: In this tutorial brief, we introduce a unified wideband phase-noise theory framework of frequency synthesis based on a multirate timestamp modeling with ...

Abstract: Conceptual modeling is the abstraction of a simulation model from the part of the real world it is representing; in other words, choosing what to model, and what not to model. This is ...

Event Modeling is a method of describing systems using an example of how information has changed within them over time. Specifically this omits transient details and looks at what is durably stored ...

UpliftML is a Python package for scalable unconstrained and constrained uplift modeling from experimental data. To accommodate working with big data, the package uses PySpark and H2O models as base ...