Instance-Based Learning is an AI approach where models make predictions based on similarity to previously seen examples. Instead of generalising from a predefined set of rules, Instance-Based Learning examines specific instances and their characteristics. This approach is effective in tasks such as pattern recognition and recommendation systems.
istributed Computing refers to the use of multiple computers or servers to perform computational tasks in a networked environment. It enables businesses to process…