Machine Learning Model Understanding As-A-Service

Organization Name

AT&T Intellectual Property I, L.P.

Inventor(s)

Eric Zavesky of Austin TX (US)

David Crawford Gibbon of Lincroft NJ (US)

Lee Begeja of Gillette NJ (US)

Paul Triantafyllou of Watchung NJ (US)

Behzad Shahraray of Holmdel NJ (US)

Machine Learning Model Understanding As-A-Service - A simplified explanation of the abstract

This abstract first appeared for US patent application 18675062 titled 'Machine Learning Model Understanding As-A-Service

- Simplified Explanation:**

The patent application describes a system for machine learning model understanding as-a-service, where a user can request an analysis of a machine learning model they have created.

- Key Features and Innovation:**
System receives a service request including a machine learning model from a user system.
Conducts analysis of the model as per the request.
Compiles and provides results of the analysis to the user.
Creates a service response containing the analysis results.
Delivers the service response to the user system.

- Potential Applications:**

This technology can be applied in various industries such as healthcare, finance, marketing, and more where machine learning models are utilized for decision-making processes.

- Problems Solved:**

The system helps users understand and interpret the performance and behavior of their machine learning models, enabling them to make informed decisions and improvements.

- Benefits:**
Enhanced understanding of machine learning models.
Improved decision-making based on analysis results.
Increased efficiency in model optimization and performance.

- Commercial Applications:**

"Machine Learning Model Understanding as-a-Service: Enhancing Decision-Making and Optimization in Various Industries"

- Prior Art:**

Researchers can explore prior art related to machine learning model analysis, model interpretation, and model optimization services to understand the existing landscape in this field.

- Frequently Updated Research:**

Researchers can stay updated on advancements in machine learning model understanding, analysis techniques, and optimization strategies to enhance the capabilities of the system.

- Questions about Machine Learning Model Understanding as-a-Service:**

1. How does this system differ from traditional machine learning model analysis tools? 2. What are the potential limitations of relying on a service for understanding machine learning models?

Original Abstract Submitted

Concepts and technologies disclosed herein are directed to machine learning model understanding as-a-service. According to one aspect of the concepts and technologies disclosed herein, a model understanding as-a-service system can receive, from a user system, a service request that includes a machine learning model created for a user associated with the user system. The model understanding as-a-service system can conduct an analysis of the machine learning model in accordance with the service request. The model understanding as-a-service system can compile, for the user, results of the analysis of the machine learning model in accordance with the service request. The model understanding as-a-service system can create a service response that includes the results of the analysis. The model understanding as-a-service system can provide the service response to the user system.