Hash encoding is a technique used to convert categorical data into numerical format by applying a hash function, which allows for efficient storage and retrieval in machine learning models. It is particularly useful in dealing with high cardinality categorical features, as it reduces the dimensionality while maintaining the uniqueness of the data representation.