Curtis T Merryweather

Title: Innovations by Curtis T Merryweather

Introduction

Curtis T Merryweather is an accomplished inventor based in Madison, NJ (US). He has made significant contributions to the field of machine learning, holding a total of 3 patents. His work focuses on identifying data of interest through advanced systems and methods.

Latest Patents

One of Curtis's latest patents involves systems and methods for identifying data of interest using machine learning. This innovative system retrieves unstructured data from internet sources via an alert system or RSS feed. The unstructured data is then input into various models and scoring systems to determine its relevance. These models may include a Naïve Bayes machine learning model, a long short-term memory (LSTM) model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and a gradient boosted regression tree (GBRT) model. Upon determining that the data is of interest, the system generates a data alert for manual review or as part of an automated decision-making process.

Career Highlights

Curtis currently works at American Express Travel Related Services Company, Inc., where he applies his expertise in machine learning and data analysis. His innovative approach has contributed to the development of systems that enhance data processing and decision-making.

Collaborations

Some of Curtis's notable coworkers include Ravi Batra and Sandeep Bose, who collaborate with him on various projects within the company.

Conclusion

Curtis T Merryweather's contributions to machine learning and data analysis demonstrate his commitment to innovation. His patents reflect a deep understanding of technology and its applications in identifying valuable data.