March 14, 2024
Supervised learning
Supervised learning is a type of machine learning in which classified output data is used to train the machine and produce the correct algorithms. It is much more common than unsupervised learning.
Unsupervised learning
Unsupervised learning is a type of machine learning in which an algorithm is trained with unclassified and unlabeled data so that it acts without supervision.
Reinforcement learning
Reinforcement learning is a type of machine learning in which an algorithm learns by interacting with its environment and then is either rewarded or penalized based on its actions.
Transfer learning
Transfer learning is a machine learning system that takes existing, previously learned data and applies it to new tasks and activities.
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