This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Aureon Laboratories, Inc.. Active years: 2009.
Company Filing History:
Years Active: 2009
Title: Innovations by Faisal M Khan
Introduction
Faisal M Khan is an accomplished inventor based in New Rochelle, NY. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of feature selection in predictive modeling.
Latest Patents
Faisal holds a patent titled "Methods and systems for feature selection in machine learning based on feature contribution and model fitness." This patent outlines methods and systems that allow for the selection of features in machine learning based on statistical metrics of feature contribution and model fitness. This innovation aims to improve the accuracy and effectiveness of predictive models.
Career Highlights
Faisal is currently employed at Aureon Laboratories, Inc., where he applies his expertise in machine learning and data analysis. His role involves developing advanced algorithms that enhance the capabilities of machine learning systems.
Collaborations
Faisal has worked alongside talented colleagues, including Marina Sapir and David Verbel. Their collaborative efforts contribute to the innovative environment at Aureon Laboratories.
Conclusion
Faisal M Khan's contributions to machine learning through his patent demonstrate his commitment to advancing technology in this field. His work continues to influence the development of more effective predictive models.