Question

Which of the following is an attribute of Supervised Learning? Relies on providing the machine learning algorithm human-labeled data - the more samples you provide, the more precise the algorithm becomes in classifying new data Relies on providing the machine learning algorithm with a set of rules and constraints and letting it learn how to achieve its goals Relies on providing the machine learning algorithm unlabeled data and letting the machine infer qualities Tries its best to maximize its rewards by trying different combinations of allowed actions within the provided constraints​

Answer 1

Answer:

The above three written attributes are those which strongly support and are properties of a unsupervised learning. But in unsupervised learning it does not takes data and rules and never uses them as an input to develop a algorithm.

Explanation:

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