supervised learning

listen to the pronunciation of supervised learning
Englisch - Englisch
(Eğitim) Supervised learning is the machine learning task of inferring a function from supervised training data. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which is called a classifier (if the output is discrete, see classification) or a regression function (if the output is continuous, see regression). The inferred function should predict the correct output value for any valid input object. This requires the learning algorithm to generalize from the training data to unseen situations in a "reasonable" way (see inductive bias). (Compare with unsupervised learning.) The parallel task in human and animal psychology is often referred to as concept learning
Gözetimli öğrenme
supervised learning

    Silbentrennung

    su·per·vised learn·ing

    Türkische aussprache

    supırvayzd lırnîng

    Aussprache

    /ˈso͞opərˌvīzd ˈlərnəɴɢ/ /ˈsuːpɜrˌvaɪzd ˈlɜrnɪŋ/
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