The document discusses three main categories of machine learning algorithms: supervised, unsupervised, and semi-supervised learning. It highlights the significance of each type by providing applications and rationales for their use. The goal is to help data scientists understand when to apply each learning method.

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?