machine-learning

Definition

Meta-Learning

Meta-learning is a subfield of machine learning where algorithms are designed to improve their own learning process. Instead of learning to perform specific tasks, a meta-learning model learns how to learn across a distribution of tasks. This enables it to adapt to new, unseen tasks much more quickly and with significantly less data than traditional machine learning models.