Datarobot, Inc.

Nutonian, Inc.

Nutomian, Inc.

Michael Schmidt

Various systems and methods provide an intuitive user interface that enables automatic specification of queries and constraints for analysis by ML component. Various implementations provide methodologies for automatically formulating machine learning ('ML') and optimization queries. The automatic generation of ML and/or optimization queries can be configured to use examples to facilitate formulation of ML and optimization queries. One example method includes accepting input data specifying variables and data values associated with the variables. Within the input data any unspecified data records are identified, and a relationship between the variables specified in the input data and a variable associated with the at least one unspecified data record is automatically determined. The relationship can be automatically determined based on training data contained within the input data. Once a relationship is established a ML problem can be automatically generated.

Methods for automating aspects of machine learning, and related systems and apparatus

Systems and methods of searching for related data sets are provided. Multivariate data sets can be input as queries into a data set search engine. According to one embodiment, the input data set is automatically reduced to a set of best fit data models of minimum complexity that represent the data set. The data model is then compared to other data models to not only identify similarity between the models, but also to identify the particulars of why the data models are related. Similar data model results can be analyzed to determine the quality of each returned data model based on an information scores. These results can be displayed graphically as a topographical map of nodes and edge. Each node can represent a data model and each edge can reflect the similarity between the nodes.

Systems and methods for symbolic analysis

System and method for auto-query generation

Systems and methods of searching for related data sets are provided. Multivariate data sets can be input as queries into a data set search engine. According to one embodiment, the input data set is automatically reduced to a set of best fit data models of minimum complexity that represent the data set. The data model is then compared to other data models to not only identify similarity between the models, but also to identify the particulars of why the data models are related. The search engine can be configured to return sets of data models as results from the search on the input data set. Results can be organized on data model type and/or information scores. Results can also be displayed graphically as a topographical map of nodes and edge. Each node can represent a data model and each edge can reflect the similarity between the nodes.

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Boston, MA, United States of America

Michael Schmidt