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Supervised vs. Unsupervised vs. Semi-supervised Learning
Data scientists use many different kinds of machine learning
algorithms to discover patterns in data. These algorithms can be
classified in three main categories: supervised, unsupervised,
and semi supervised learning.
For each Learning type, give an application and explain why we
should use it?

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  • 1. Supervised vs. Unsupervised vs. Semi-supervised Learning Data scientists use many different kinds of machine learning algorithms to discover patterns in data. These algorithms can be classified in three main categories: supervised, unsupervised, and semi supervised learning. For each Learning type, give an application and explain why we should use it?