Meta-Learning, also referred to as “learning to learn,” focuses on algorithms and models that can learn how to learn from multiple tasks or contexts. It tries to use the knowledge gained from prior learning experiences to develop systems that can quickly adapt to new tasks with minimal training.
Meta-Learning
SHARE
Related Links
Customer Lifetime Value (CLV) is no longer just a metric—it’s a strategic asset that can shape…
A constant challenge businesses across industries face is building a personal connection with their audience in…
