“Ученик не суперс” Ответ

Ученический надзор

Supervised learning:
Supervised learning is a type of machine learning in which machine learn
from known datasets (set of training examples), and then predict the output.
A supervised learning agent needs to find out the function that matches a given sample set.
Supervised learning further can be classified into two categories of algorithms:

a- Classifications
b- Regression
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Ученик не суперс

Unsupervised learning:
Unsupervised learning is associated with learning without supervision or 
training. In unsupervised learning, the algorithms are trained with data
which is neither labeled nor classified. In unsupervised learning,
the agent needs to learn from patterns without corresponding output values.

Unsupervised learning can be classified into two categories of algorithms:
Clustering
Association
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