DataRobot provides a machine learning platform for a spectrum of data-driven users and skill levels. From the progressive business analysts or statisticians to the applied data scientists - users can build and deploy accurate predictive models in a fraction of the time it used to take. DataRobot addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.
DataRobot searches through millions of combinations of algorithms, data preprocessing steps, transformations, features and tuning parameter to narrow down the universe of possible solutions for a given data set and prediction target. It then evaluates thousands of models in parallel to deliver the best predictive model in the shortest amount of time. The platform uses massively parallel processing to train and can evaluate predictive models in technologies such as R, Python, SparkML, H2O and other open source libraries. Deployment of these models – and the predictions they produce – is accessed via a simple Rest API. No heavy coding or translation required.
The bottom line is that we have some of the top-ranked practitioners worldwide in the field Data Science that has innovated to process automate the ML/analytics flow (modelling, scoring, & deployment) to drive efficiencies and accuracy for all predictive use cases… thus, we drive downtime to value, allow for analysts to truly run predictions, cut the backlog of predictive projects, and enable the use of Machine Learning to align with an organization's strategic goals.