Question: In which field are Support Vector Machines frequently applied?
Options:
Finance for credit scoring
Manufacturing for process optimization
Healthcare for disease diagnosis
All of the above
Correct Answer: All of the above
Solution:
Support Vector Machines are versatile and are applied in various fields, including finance, manufacturing, and healthcare.
In which field are Support Vector Machines frequently applied?
Practice Questions
Q1
In which field are Support Vector Machines frequently applied?
Finance for credit scoring
Manufacturing for process optimization
Healthcare for disease diagnosis
All of the above
Questions & Step-by-Step Solutions
In which field are Support Vector Machines frequently applied?
Step 1: Understand what Support Vector Machines (SVM) are. They are a type of machine learning algorithm used for classification and regression tasks.
Step 2: Identify the fields where SVMs are commonly used. These include finance, where they help in credit scoring and fraud detection.
Step 3: Recognize that SVMs are also used in manufacturing for quality control and predictive maintenance.
Step 4: Note that in healthcare, SVMs assist in disease diagnosis and patient classification.
Support Vector Machines (SVM) – A supervised machine learning algorithm used for classification and regression tasks.
Applications of SVM – SVMs are used in various fields such as finance for credit scoring, manufacturing for quality control, and healthcare for disease diagnosis.
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