Kernel adaptive filter is a type of special computer program that looks at data, collects information, and then makes predictions. It can be used in many different areas, like predicting the stock market or predicting weather patterns. The filter compares data points within groups, like colors, months, or number of people, and then uses them to make a prediction. It works like a puzzle-solver: the computer looks at a lot of pieces and then pieces them together until it finds a pattern.