MACHINE LEARNING

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APPLICATION OF SUPERVISED LEARNING

SUPPORT VECTOR MACHINE SVM

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Which of the following are real-world applications of the SVM?
A
Text and Hypertext Categorization
B
Image Classification
C
Clustering of News Articles
D
All of the above
Explanation: 

Detailed explanation-1: -Which of the following are real-world applications of the SVM? Explanation: SVMs are highly versatile models that can be used for practically all real-world problems ranging from regression by svm regression model to clustering and handwriting recognition.

Detailed explanation-2: -A support vector machine (SVM) is a type of deep learning algorithm that performs supervised learning for classification or regression of data groups. In AI and machine learning, supervised learning systems provide both input and desired output data, which are labeled for classification.

Detailed explanation-3: -Types of SVM such as maximum-margin classifier, soft-margin classifier, support vector machine.

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