Data Science Introduction

Data Science can be useful in deriving insights from structured or unstructured data. To provide meaningful information from large datasets, one can incorporate data science to interpret data for decision-making.

Data Science is a field that comprises everything related to data cleansing, preparation, and analysis. It is the method used to extract insights and information from data.

Gathr incorporates data science techniques for deriving meaningful information from data. Using Gathr ML, PMML, and H2O processors one can train models as well as score models for streaming and batch data.

Making predictions on real-time data streams or a batch of data involves building an offline model and applying it to a stream. Models incorporate one or more machine-learning algorithm that is trained using the collected data.

Supported Technologies #

Gathr supports models that are created using ML, H2O, and PMML. In addition, it supports some of the R models (created in PMML) to be used for scoring on data in Gathr.