Kevin Eric Norsworthy

Title: Kevin Eric Norsworthy: Innovator in Predictive Modeling

Introduction

Kevin Eric Norsworthy is a notable inventor based in Austin, TX (US). He has made significant contributions to the field of predictive modeling through his innovative patent. His work focuses on improving the efficiency and accuracy of predictive models by utilizing statistical measures.

Latest Patents

Norsworthy holds a patent titled "Method for computing models based on attributes selected by entropy." This patent describes a process where attributes of a data set are analyzed using entropy, chi-square, or similar statistical measures. The method identifies a target group of samples with desired attributes and compares their attribute values to those of the entire sample population. By selecting a subset of attributes that show the greatest relative difference, the predictive model is generated more efficiently, requiring fewer computational resources.

Career Highlights

Kevin Eric Norsworthy is associated with International Business Machines Corporation (IBM), where he applies his expertise in data analysis and predictive modeling. His innovative approach has led to advancements in how predictive models are generated and utilized in various applications.

Collaborations

Norsworthy has collaborated with notable colleagues such as Quan G Cung and Harry Roger Kolar. Their combined efforts contribute to the ongoing development of innovative solutions in the field of data science.

Conclusion

Kevin Eric Norsworthy's work exemplifies the impact of innovation in predictive modeling. His patent not only enhances the efficiency of model generation but also showcases the importance of statistical analysis in data-driven decision-making.