Company Filing History:
Years Active: 2022-2024
Title: Kevin Tee: Innovator in Machine Learning Tuning Systems
Introduction
Kevin Tee is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning, particularly in the area of hyperparameter tuning. With a total of 2 patents, Tee's work focuses on enhancing the efficiency and effectiveness of machine learning models.
Latest Patents
Kevin Tee's latest patents include innovative systems and methods for implementing an intelligent machine learning tuning system. One of his patents describes a process that involves selecting hyperparameter values, generating a polygonal shaped failure region in the hyperparameter space, and performing multiple tunings to optimize model performance. Another patent outlines a machine learning-based tuning service that identifies tuned hyperparameter values and sets a failure region to improve the tuning process for third-party models or systems.
Career Highlights
Kevin Tee is currently employed at Intel Corporation, where he applies his expertise in machine learning and artificial intelligence. His work at Intel has allowed him to collaborate with other talented professionals in the field, contributing to advancements in technology and innovation.
Collaborations
Some of Kevin's notable coworkers include Michael McCourt and Patrick Hayes. Their collaborative efforts have further enhanced the development of cutting-edge technologies in machine learning.
Conclusion
Kevin Tee is a key figure in the realm of machine learning innovations, with a focus on hyperparameter tuning systems. His contributions at Intel Corporation and his patented technologies are paving the way for more efficient machine learning applications.