Data: Different types of data sets that exist on the web, such as web service APIs and IoT sensor data.
Model: The “base” part of the artificial intelligence (AI) system that describes how the data given to the system will be processed (mathematically). There are many different types (such as neural networks and decision trees) used for different purposes. Machine learning is a type of AI system where the model can continuously self-improve for better accuracy when exposed to more data.
Machine: Machine powered resources (processing power such as GPU and memory) required for processing data as per described in the model.