Datarobot, Inc.

Zachary Albert Mayer

Jeremy Achin

Jesse Bannon

Joshua Matthew Weiner

Amanda Claire Schierz

Jason McGhee

Methods for detection of anomalous data samples from a plurality of data samples are provided. In some embodiments, an anomaly detection procedure that includes a plurality of tasks is executed to identify the anomalous data samples from the plurality of data samples.

Methods for detecting and interpreting data anomalies, and related systems and devices

Systems and methods are described for developing and using neural network models. An example method of training a neural network includes: oscillating a learning rate while performing a preliminary training of a neural network; determining, based on the preliminary training, a number of training epochs to perform for a subsequent training session; and training the neural network using the determined number of training epochs. The systems and methods can be used to build neural network models that efficiently and accurately handle heterogeneous data.

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Boston, MA, United States of America

Zachary Albert Mayer