Glossary

Feature Extraction is a crucial data preparation step in machine learning. It entails altering raw data into a digestible format by choosing, filtering, and lowering data dimensions. It aids in identifying relevant features instrumental to effectively train machine learning models.

Evolving Classification Function (ECF) is a critical tool for data stream mining in machine learning, facilitating operations in dynamic environments.

Embedding in AI is a method transforming categorical data into numerical forms, facilitating superior model performance by uncovering inherent category relationships.