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
Traditional email campaigns, though cost-effective, often fall short due to their lack of personalization, leading to…
Customer Lifetime Value (CLV) is no longer just a metric—it’s a strategic asset that can shape…
