Differences Between Supervised, Unsupervised, and Semi-supervised Learning Open

There are a number of learning scenarios, or types of learning algorithms, that can be used depending on whether a target variable is available and how much labeled data can be used. These approaches include supervised, unsupervised, and semi-supervised learning.

Explain the difference between each type of machine learning. Give an example of how each is used.

Write your responses in detail with EXAMPLES . Be sure to identify the source of your example in your posting. Your initial post should be of minimum 300 words.