(MI) is an in that to the of two . It can be used to and in and to the of . In this , we will the of in and its in real-world .

First, let us what is. is a of the of by two . It the of two ; the the value, the more the . can be used for or , it a in tasks.

In , MI is often used in the to the most in a . The idea is to the that have the with the (the we want to ). By doing so, we can the of the and the of the model by or .

, MI can also be used to in . is a for the two . , only the , while MI can non- . This makes MI a more tool in and in .

MI is also used in to group data . The uses MI to which data are based on their . By doing so, MI can help in or of data that share .

In , MI can be used in image to of an image. For , in a , MI can be used to the most of a face, such as the eyes, nose, and mouth. By doing so, the can faces more .

, MI can also be used in to large sets of text data. MI can be used to the most words and in a and to and words. This can be in , such as and topic .

In , is a in that has in . It is used to and in , the of , , and the of . and its in can help in more and for real-world .