APPLICATION OF SUPERVISED LEARNING
SUPERVISED AND UNSUPERVISED LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
Which of these is not a supervised learning algorithm?
|
|
Representation Learning
|
|
|
Classification
|
|
|
Regression
|
|
|
None of the above
|
Explanation:
Detailed explanation-1: -Answer-A) PCA Is not supervised learning.
Detailed explanation-2: -Some popular examples of supervised machine learning algorithms are: Linear regression for regression problems. Random forest for classification and regression problems. Support vector machines for classification problems.
Detailed explanation-3: -Expert-Verified Answer They do not unsupervised learning algorithms like linear regression. A linear technique for modeling the relationship between a scalar response and one or more explanatory factors is known as linear regression (also known as dependent and independent variables).
There is 1 question to complete.