Basic Understanding of Supervised, Unsupervised and Reinforcement Learning

Supervised Learning

Reference:
https://en.wikipedia.org/wiki/Supervised_learning
In machine learning, supervised learning (SL) is a paradigm where a model is trained using input objects (e.g. a vector of predictor variables) and desired output values (also known as a supervisory signal), which are often human-made labels.

Steps to Follow

1. Determine the type of training samples.
2. Gather a training set.
3. Determine the input f