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Lazy Learning
The system tries to generalize the training data before receiving queries (-> Neural Networks)

• +target function approximated globally
• +deals with noise in the training data
• -unable to provide good local approximations

Eager Learning:
The system does not generalize until a guery is made to the system (-> k-NN)

• +target function approximated locally
• -large space requirements to store the entire training dataset
• -slow to evaluate