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In a real-world application, SVM can be used for which of the following?

Practice Questions

Q1
In a real-world application, SVM can be used for which of the following?
  1. Image recognition
  2. Time series forecasting
  3. Clustering customer segments
  4. Generating text

Questions & Step-by-Step Solutions

In a real-world application, SVM can be used for which of the following?
  • Step 1: Understand what SVM stands for - Support Vector Machine.
  • Step 2: Learn that SVM is a type of machine learning algorithm.
  • Step 3: Know that SVM is used for classification tasks, which means it helps to categorize data into different groups.
  • Step 4: Recognize that one common application of SVM is in image recognition, where it helps to identify and classify images.
  • Step 5: Realize that SVM analyzes the features of images (like colors, shapes, and patterns) to make decisions about what the image represents.
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