Seattle, WA, United States of America

Stephen Purpura


Average Co-Inventor Count = 3.0

ph-index = 3

Forward Citations = 66(Granted Patents)


Company Filing History:


Years Active: 2016

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3 patents (USPTO):

Title: The Innovations of Stephen Purpura

Introduction

Stephen Purpura is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of machine learning, holding a total of 3 patents. His work focuses on developing methods and systems that enhance the training of predictive models.

Latest Patents

Stephen's latest patents include innovative techniques for training machine learning models. One patent details methods, systems, and apparatus for training a machine learning model, which involves receiving a complete set of training data and instructions to train a predictive model on an initial subset of that data. This process includes training the model, storing its state, and updating it with new parameter values for further training. Another patent focuses on selecting a training strategy for machine learning models, which involves performing experiments to determine the best strategy for a specific data set. This strategy includes a binning approach for organizing raw feature vectors before they are input into the predictive model.

Career Highlights

Stephen Purpura is currently employed at Context Relevant, Inc., where he continues to push the boundaries of machine learning technology. His work has been instrumental in developing advanced methodologies that improve the efficiency and accuracy of predictive modeling.

Collaborations

Stephen has collaborated with notable colleagues, including James E Walsh and Dustin Lundring Rigg Hillard. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Stephen Purpura's contributions to machine learning through his patents and collaborative efforts highlight his role as a leading inventor in the field. His work continues to influence the development of advanced predictive models, showcasing the importance of innovation in technology.

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