👉 Instances computing refers to the process of executing computations on specific data instances, which are individual data points or records within a larger dataset. This concept is central to machine learning and artificial intelligence, where models are trained on subsets of data (instances) to learn patterns and make predictions or decisions. For example, in a dataset of customer transactions, each transaction represents an instance that the model processes to identify trends or classify customers into different segments. Instances computing allows for efficient and scalable processing of large datasets by focusing computational resources on relevant data points, rather than entire datasets, making it a crucial aspect of modern data-driven applications.
