The following table provides definitions for some of the terms that are used in this document.
Table 1. Terminology
Term | Definition |
ML | Machine learning—A methodology that applies algorithms that can be automatically improved through experience and training with data |
AI | Artificial intelligence—A system that perceives its environment and acts based on the machine intelligence (system-based) rather than natural intelligence (human- or animal-based) |
DL | Deep learning—The stringing together of multiple algorithms across layers to create an artificial neural network that is designed to learn and make intelligent decisions on its own |
MLOps | Machine learning + [IT] operations—A methodology that applies DevOps principles to ML environments |
DevOps | [Application] development + [IT] operations—A set of practices in which application development and IT operations are combined into cohesive unified processes to provide continuous development and delivery pipelines that can iterate and improve systems more quickly and reliably |