18378068. MACHINE LEARNING MODEL CREATION simplified abstract (Apple Inc.)

MACHINE LEARNING MODEL CREATION

Organization Name

Apple Inc.

Inventor(s)

Michael R. Siracusa of Mountain View CA (US)

Alexander B. Brown of Mountain View CA (US)

Dheeraj Goswami of Cupertino CA (US)

Nathan C. Wertman of Grand Junction CO (US)

Jacob T. Sawyer of Sunnyvale CA (US)

Donald M. Firlik of Cupertino CA (US)

MACHINE LEARNING MODEL CREATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18378068 titled 'MACHINE LEARNING MODEL CREATION

The patent application describes a system for creating machine learning models through the use of templates tailored to different types of data, such as images, text, sound, motion, and tabular data.

• Application developers can easily select a machine learning template suitable for their data type.
• Templates include options for classifying various types of data.
• A user-friendly interface allows for the selection of training and validation data, as well as the integration of the trained model into the application.
• The system provides numerical scores for training and validation accuracy using test data.
• A live mode enables testing of the machine learning model on mobile devices using sensors like the camera or microphone.

Potential Applications: - This technology can be applied in various industries such as healthcare, finance, and marketing for data analysis and pattern recognition. - It can be used in security systems for identifying and classifying objects or individuals.

Problems Solved: - Simplifies the process of creating machine learning models for developers. - Provides a user-friendly interface for selecting and integrating data for training and validation.

Benefits: - Streamlines the development of machine learning models. - Enhances accuracy and efficiency in data classification tasks.

Commercial Applications: "Machine Learning Model Creation System for Various Data Types: Simplifying Development and Enhancing Accuracy"

Frequently Updated Research: Stay updated on advancements in machine learning model creation techniques and applications.

Questions about Machine Learning Model Creation System: 1. How does this system improve the efficiency of creating machine learning models? 2. What are the potential implications of using this technology in different industries?

Original Abstract Submitted

Embodiments of the present disclosure present devices, methods, and computer readable medium for techniques for creating machine learning models. Application developers can select a machine learning template from a plurality of templates appropriate for the type of data used in their application. Templates can include multiple templates for classification of images, text, sound, motion, and tabular data. A graphical user interface allows for intuitive selection of training data, validation data, and integration of the trained model into the application. The techniques further display a numerical score for both the training accuracy and validation accuracy using the test data. The application provides a live mode that allows for execution of the machine learning model on a mobile device to allow for testing the model from data from one or more of the sensors (i.e., camera or microphone) on the mobile device.