Montreal, Canada

Martin Tapp


Average Co-Inventor Count = 2.3

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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3 patents (USPTO):Explore Patents

Title: Martin Tapp: Innovator in Machine Learning Applications

Introduction

Martin Tapp, an accomplished inventor based in Montreal, Canada, has made significant contributions to the field of machine learning. With a total of two patents to his name, he has developed innovative methodologies that enhance the capabilities of machine learning models for various applications, particularly in the retail sector.

Latest Patents

Martin's latest patents showcase his expertise in machine learning and predictive analytics. One of his notable inventions is a "Method of training machine learning models for making simulated estimations." This patent details a computer-implemented method of collecting historical data, transforming it to create model features, and dynamically creating training sets to enhance machine learning models' training process.

Another exceptional contribution is his patent for "Using machine learning to predict retail business volume." This invention describes methods for estimating various types of retail business volume by utilizing historical data, store characteristics, and geographical location. It employs machine learning regression models to analyze data pools based on business characteristics, offering future volume estimates that can be integrated into other systems, like worker scheduling applications.

Career Highlights

Throughout his career, Martin has worked with leading companies, including Kronos Technology Systems Limited Partnership. His innovative methodologies and inventions have been integral in advancing the technology utilized within these organizations, particularly in optimizing business operations through machine learning.

Collaborations

Martin has had the opportunity to collaborate with esteemed professionals in his field, including Alexander Krowitz and Michael A. Scarpati. These partnerships have allowed him to further refine his inventions and contribute to the broader landscape of machine learning and data analytics.

Conclusion

With his innovative approaches and patents, Martin Tapp exemplifies the spirit of invention in the rapidly evolving field of machine learning. His work not only provides valuable tools for businesses but also contributes to the ongoing discourse around the application of technology in improving decision-making processes. As an inventor, Martin continues to pave the way for future advancements in machine learning.

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