Recall Concept Learning and also Explain hypothesis space of Find-S.

Concept Learning :- Acquiring the definition of a general category from given sample positive and negative training examples of the category. Concept Learning can seen as a problem of searching through a predefined space of potential hypotheses for the hypothesis that best fits the training examples. 

General Hypothesis :- Hypothesis, in general, is an explanation for something. The general hypothesis basically states the general relationship between the major variables.

1. The process starts with initializin generally, it is the first positive example in the data set. 

2. We check for each positive example. If the example is negative, we will move on to the next example but if it is a positive example we will consider it for the next step. 

3. We will check if each attribute in the example is equal to the hypothesis value. 

4. If the value matches, then no changes are made. 

5. If the value does not match, the value is changed to ‘?’. 

6. We do this until we reach the last positive example in the data set.