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In machine learning, what is active learning? Could someone give a proper explanation for this?

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Active Learning is a Machine Learning subset. It allows algorithms to learn by interacting with the user through queries and providing the desired results. In this method, the algorithms select the required labeled subset from the set of data. Its main goal is to provide more accurate results with the use of a lesser amount of training data. This method proves to be extremely useful in cases where there is a large amount of data that needs to labeled and there is a need to set the priority to label the data smartly.

To gain insight into Machine Learning and how it has brought about improvements in organizations with various techniques like active learning, supervised and unsupervised learning, etc., you should watch this video tutorial on YouTube:

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