Interview question: What is the difference between supervised, unsupervised and semi-supervised learning?

In my last post I discussed what machine learning is. The link to that post can be found here:- https://medium.com/@tracyrenee61/interview-question-what-is-machine-learning-d042efc7569e

In this post I intend to break down the definition of machine learning further to discuss the difference between supervised, unsupervised and semi-supervised learning.

The diagram below portrays Python’s machine learning library, sklearn, where there are functions available for the three types of learning. Please note that while reinforcement learning is also a type of machine learning, it is not accommodated for in sklearn.

The three types of learning that are utilised in sklearn are:-

1. Supervised learning
2. Unsupervised learning
3. Semi-supervised learning

Supervised learning

Supervised machine learning is a subcategory of machine learning. It is defined by its use of labelled datasets to train algorithms that classify data or predict outcomes…