What is Supervised Learning?
What is Supervised Learning ? Type of Supervised Learning?
Definition
As the name suggested, supervised learning, It has a supervisor that helps the learning agent to learn. Supervisor already has desired output (labelled) which is not shown to the learning agent, the output generated from the learning agent is matched with the output provided by the supervisor and the difference of the output shows how well the learning agent is learning.
Let us consider the example of a school, where a teacher asked to check her student’s performance on the basis of a random test. The teacher already has test answers with her, plus the answers which the student gave. Now the teacher will check the student answers with the actual answers to get the performance, this is called accuracy. In the same way, supervise learning works, There would be 2 outputs, one which is given by the machine and the actual output.
Types of supervised Machine learning Algorithms:
Regression
Regression algorithms are used if there is a relationship between the input variable and the output…
