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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?
Unsupervised learning
Reinforcement learning
Supervised learning
Semi-supervised learning
Questions & Step-by-Step Solutions
What type of learning does Support Vector Machines primarily utilize?
Steps
Concepts
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.
No concepts available.
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