While automated feature engineering enhances efficiency, a combination of domain knowledge and automation often yields the best results. This type of learning is based nous trial and error. Instead of learning from a fixed dataset, the system interacts with its environment, makes decisions, and receives feedback through rewards or penalties. https://mortonm542thv8.activoblog.com/profile