Differentiate supervised and unsupervised machine learning

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Question - Differentiate supervised and unsupervised machine learning.

Answer -

In supervised machine learning, the machine is trained using labeled data. Then a new dataset is given into the learning model so that the algorithm provides a positive outcome by analyzing the labeled data. For example, we first require to label the data which is necessary to train the model while performing classification.
In the unsupervised machine learning, the machine is not trained using labeled data and let the algorithms make the decisions without any corresponding output variables.

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Machine Learning Interview Questions and Answers