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ML (supervision, how generalized, on-off line learning) - Coggle Diagram
ML
supervision
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semi-supervised
you will often have plenty
of unlabeled instances, and few labeled instances.
reinforcement
an agent in this context, can observe the environment, select and perform actions, and get rewards in return (or penalties in the form of negative rewards
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on-off line learning
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online learning
train the system incrementally by feeding it data instances sequentially, either individually or in small groups called mini-batches
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