How does the Machine Learning model learn?
- Instance-Based Learning
- Model-Based Learning
Like humans, ML learns by memorizing or generalizing and understanding the underlying principle. Instance-based learning is the memorizing type, and Model-Based Learning is understanding the underlying principle.
- Instance-Based Learning
- Let’s understand using a very simple example. Say we have data of students: IQ, CGPA, Placement(yes/no)
- Now suppose the enquiry is around IQ= 103, CGPA= 7.5 if placement happens or not.
- Instance-based learning focuses on simple things. The simple thing here is ‘similarity’ compared to other points.
- What is done here is that the distance is calculated with respect to the nearest 3 or 5 points, and then it is observed how those nearby points behave. If the majority nearest point is Red, then NO, the…