Recommender toolkit enables flexible, scalable personalization for increased customer engagement and lifetime value.
Analytos team develops prototypes to validate the hypothesis. If results are promising, the team focuses on designing for business data insights.
Analytos team helps with building Statistical mathematical models, data infrastructure, and data feeds. Team works with customers to educate their team about the technology and decision-making opportunities from the data.
The Data Matching toolkit enables aggregation and linking of arbitrary data from different sources for the purposes of deduplication and organizing content from large collections of unstructured data for easier navigation and more thorough understanding.
Logistic regression is a model that is popularly used for classification tasks. Analytos's classification toolkit provides a complete set of features from creation of a model over predicting outcomes to evaluating the accuracy of the model.
Analytos's nearest neighbor toolkit provides the most flexible way to search for data points that are similar to a set of queries, and does so at interactive speed.