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What type of learning does Support Vector Machines primarily utilize?

Practice Questions

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

Questions & Step-by-Step Solutions

What type of learning does Support Vector Machines primarily utilize?
  • Step 1: Understand what Support Vector Machines (SVM) are. They are a type of algorithm used in machine learning.
  • Step 2: Learn about the two main types of learning in machine learning: supervised and unsupervised learning.
  • Step 3: Recognize that supervised learning means the algorithm learns from labeled data, where each example has a known output.
  • Step 4: Identify that Support Vector Machines need labeled training data to create a model that can classify new data.
  • Step 5: Conclude that since SVM requires labeled data to learn, it is classified as a supervised learning algorithm.
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