Automated decision making using stepwise machine learning

摘要

Techniques for identifying system problems using artificial intelligence (ie, machine learning) are described. Multiple machine learning stages or models are used to better categorize inputs and derive reliable solutions faster. Each subsequent model identifies a more specific category than the previous model, ie each continuous model operates at a more granular level. The techniques described include stepwise machine learning models and user interface elements used to train the system and support the application development process. These techniques can be used to more easily create logic aimed at solving problems in a particular system.