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What is the primary application of SVM in real-world scenarios?

Practice Questions

Q1
What is the primary application of SVM in real-world scenarios?
  1. Image classification
  2. Time series forecasting
  3. Clustering
  4. Dimensionality reduction

Questions & Step-by-Step Solutions

What is the primary application of SVM in real-world scenarios?
  • Step 1: Understand what SVM stands for - SVM means Support Vector Machine.
  • Step 2: Know that SVM is a type of machine learning algorithm.
  • Step 3: Learn that SVM is used to classify data into different categories.
  • Step 4: Recognize that one of the main areas where SVM is applied is in image classification.
  • Step 5: Understand that image classification means sorting images into groups based on their content.
  • Step 6: Realize that SVM works well with high-dimensional data, which is common in images.
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