APPLICATION OF SUPERVISED LEARNING
UNSUPERVISED LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
____ is an unsupervised learning type
|
|
Association
|
|
|
Clustering
|
|
|
Both of these
|
|
|
None of these
|
Explanation:
Detailed explanation-1: -Explanation: In unsupervised learning, the model learns itself from the data without having a predicted result. Either the data is not given with a target response variable (label), or none chooses to label a response. In general, it is mainly treated as a pre-processing step for supervised learning models.
Detailed explanation-2: -Unsupervised learning is when it can provide a set of unlabelled data, which it is required to analyze and find patterns inside. The examples are dimension reduction and clustering.
There is 1 question to complete.