Madison, MS, United States of America

Max K Goff

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Max K Goff: Innovator in Machine Learning Data Objects

Introduction

Max K Goff is an accomplished inventor based in Madison, MS (US). He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the processing of unstructured data, which is crucial for developing effective machine learning models.

Latest Patents

Max K Goff holds a patent for "Extensible data objects for use in machine learning models." This patent describes systems and methods for creating a data object for each of a plurality of imported unstructured data files. Each data object expressly includes one of the unstructured data files. The invention involves preprocessing subsystems and machine learning algorithms that process the data to generate or identify structured insight features. The system updates each data object to include these structured insight features, thereby improving the efficiency and effectiveness of machine learning applications.

Career Highlights

Max K Goff is associated with Deepsee.ai Inc., where he applies his expertise in machine learning and data processing. His innovative approach has positioned him as a key player in the development of advanced data solutions. His work is instrumental in bridging the gap between unstructured data and actionable insights.

Collaborations

Max collaborates with talented individuals such as Stephen W Shillingford and Wacey T Richards. Together, they contribute to the advancement of technologies that leverage machine learning for better data utilization.

Conclusion

Max K Goff's contributions to the field of machine learning through his patent and work at Deepsee.ai Inc. highlight his role as an innovator in the industry. His efforts in creating extensible data objects are paving the way for more effective machine learning models.

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