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What type of learning does SVM primarily utilize?

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Question: What type of learning does SVM primarily utilize?

Options:

  1. Supervised learning
  2. Unsupervised learning
  3. Reinforcement learning
  4. Semi-supervised learning

Correct Answer: Supervised learning

Solution: 

SVM is a supervised learning algorithm used for classification and regression tasks.

What type of learning does SVM primarily utilize?

Practice Questions

Q1
What type of learning does SVM primarily utilize?
  1. Supervised learning
  2. Unsupervised learning
  3. Reinforcement learning
  4. Semi-supervised learning

Questions & Step-by-Step Solutions

What type of learning does SVM primarily utilize?
  • Step 1: Understand what SVM stands for. SVM means Support Vector Machine.
  • Step 2: Learn that SVM is a type of algorithm used in machine learning.
  • Step 3: Identify the main purpose of SVM. It is used for classifying data into different categories.
  • Step 4: Recognize that SVM can also be used for regression, which means predicting continuous values.
  • Step 5: Know that SVM is classified as a supervised learning algorithm, meaning it learns from labeled data.
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