Lazy vs. Eager Learning.md

date created	date updated	tags
2022-03-22 11:15	2022-03-22 13:43	#K-NN #algorithms #Algorithms

Lazy vs. Eager Learning

Lazy Learning

Lazy learning #algorithms simply store the training data (or perform limited processing) and only operate when given a test example. This allows for very quick training, but predictions can be quite slow.

Examples of Lazy Learning #Algorithms

• #K-NN

Eager Learning

Eager learning #algorithms construct a classification model given a training set before receiving new test data to classify. This means that training is generally slow, but predictions are relatively quick.

Examples of Eager Learning Algoritms