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.
Time Series Analysis is an AI technique that analyses data points collected over time. This approach involves detecting trends, patterns, and seasonality in the…