Machine learning (ML) is a field of computer science that gives computers the ability to learn without being explicitly programmed. In BI, this general definition is expanded to include all …

Machine Learning Functions The following is a brief guide to the various ML functions included in the Data Flow section of Model Clustering

Data Modeling Overview Data Modeling Concepts Model Files vs Deployed Models External Models vs Pyramid Models Data Flows vs Semantic Models Smart Modeling New Smart …

Model: the app for modeling flows for either data (preparing data, DSML / machine learning and semantic models) or decisions (event triggering and user tasks). Discover: build visualizations …

Model Pro: with this option, proficient users can build custom data flows ("ETL"), perform advanced data manipulation (like machine learning, scripting engines, column operations, and …

Help of the 'Formulation' tools in Pyramid 2018: for sharable business logic, custom calculations, data lists, KPI builders, machine learning scripts, custom visualizations and parameters

Again, the process of learning a regression trees is very similar to that of learning classification trees. The main difference is in how the "purity" of a segment is measured.

Both languages use a very syntactical structure and many of these functional elements are identical or similar. The following provides an overview of these elements. Arguments: These …

Historical values are analyzed using time series machine learning algorithms to generate a forecast of expected future values. If new data points fall significantly outside the defined …

Overview Pyramid is a vast, end-to-end analytics platform for deployments in enterprise organizations. A key architectural achievement in the platform is the ability to deliver …