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
In the fast-paced world of marketing, precise targeting and actionable insights are essential. Campaign managers often…
The traditional credit card market has long dominated consumer financing, but the rise of Buy Now,…
