Machine Learning Basics - Supervised VS Unsupervised Learning

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Why Supervised Learning?
Supervised learning allows you to collect data or produce a data output from the previous experience.
Helps you to optimize performance criteria using experience
Supervised machine learning helps you to solve various types of real-world computation problems.

Why Unsupervised Learning?
Here, are prime reasons for using Unsupervised Learning:

Unsupervised machine learning finds all kind of unknown patterns in data.
Unsupervised methods help you to find features which can be useful for categorization.
It is taken place in real time, so all the input data to be analyzed and labeled in the presence of learners.
It is easier to get unlabeled data from a computer than labeled data, which needs manual intervention.
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