Taylor Jackie Spriggs

Title: Innovations of Taylor Jackie Spriggs

Introduction

Taylor Jackie Spriggs is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of model tuning processes, which is crucial for developing effective machine learning applications.

Latest Patents

Taylor holds a patent titled "Systems and methods for implementing an intelligent tuning of multiple hyperparameter criteria of a model constrained with metric thresholds." This patent outlines systems and methods for tuning hyperparameters of a model by receiving a tuning request that includes multiple objective functions. The invention defines a joint tuning function based on these objective functions and executes a tuning operation to identify optimal hyperparameter values. This innovative approach allows for the application of metric thresholds to improve the performance of machine learning models.

Career Highlights

Taylor is currently employed at Intel Corporation, where he continues to push the boundaries of technology and innovation. His work at Intel has allowed him to collaborate with other talented professionals in the field, contributing to the advancement of machine learning technologies.

Collaborations

Some of Taylor's notable coworkers include Michael McCourt and Bolong Cheng. Their collaborative efforts have further enhanced the research and development initiatives at Intel Corporation.

Conclusion

Taylor Jackie Spriggs is a notable inventor whose work in machine learning has led to significant advancements in hyperparameter tuning. His innovative patent and contributions at Intel Corporation highlight his commitment to improving technology and driving innovation in the field.