DATABASE FUNDAMENTALS
DATA WAREHOUSING AND DATA MINING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Unsupervised learning
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Reinforcement learning
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Supervised learning
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None
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Detailed explanation-1: -Answer-A) The task of inferring a model from labeled training data is called Supervised Learning.
Detailed explanation-2: -Supervised learning (SL) is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. It infers a function from labeled training data consisting of a set of training examples.
Detailed explanation-3: -Answer. Answer: MACHINE LEARNING TASK OF INFERRING A FUNCTION FROM LABELLED TRAINING DATA IS KNOWN AS SUPERVISED LEARNING.
Detailed explanation-4: -Explanation: supervised learning is a type of machine learning algorithm that is specifically designed to infer a model from labeled data.
Detailed explanation-5: -Supervised learning uses a training set to teach models to yield the desired output. This training dataset includes inputs and correct outputs, which allow the model to learn over time. The algorithm measures its accuracy through the loss function, adjusting until the error has been sufficiently minimized.