Chicago, IL, United States of America

Ivan Pyzow


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Ivan Pyzow: Innovator in Machine Learning Visualization

Introduction

Ivan Pyzow is a notable inventor based in Chicago, IL (US). He has made significant contributions to the field of machine learning, particularly in the visualization of model performance. His innovative approach has the potential to enhance the understanding and application of machine learning techniques.

Latest Patents

Ivan Pyzow holds a patent for "Methods and systems for visual representation of model performance." This patent discloses methods and systems for visualizing machine learning model performance. One method involves receiving a request to provide a visual representation of a machine learning technique executed on a set of images to generate a first attribute and a second attribute for each image. The process includes executing the machine learning model to receive the first and second attributes, mapping the first attribute to a visual distinctiveness protocol, and identifying a distance for each image. This distance represents a difference between the second attribute predicted by the model for each pair of respective images within the set. The final step provides for display at least a subset of the set of images arranged according to their respective distance, showcasing a visual attribute corresponding to the mapped first attribute for each image.

Career Highlights

Ivan is currently employed at Datarobot, Inc., where he applies his expertise in machine learning and visualization. His work focuses on developing innovative solutions that improve the interpretability of machine learning models.

Collaborations

Ivan collaborates with talented individuals such as Pavlo Kochubei and Yehor Kolchyba, contributing to a dynamic and innovative work environment.

Conclusion

Ivan Pyzow's contributions to machine learning visualization are paving the way for more effective and interpretable models. His patent and work at Datarobot, Inc. exemplify his commitment to innovation in this rapidly evolving field.

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