What type of learning does SVM primarily fall under?

₹0.0

Question: What type of learning does SVM primarily fall under?

Options:

Correct Answer: Supervised learning

Solution:

SVM is a supervised learning algorithm, as it requires labeled data for training.

What type of learning does SVM primarily fall under?

What type of learning does SVM primarily fall under?

Step 1: Understand what SVM stands for. SVM means Support Vector Machine.
Step 2: Learn about types of learning in machine learning. There are mainly two types: supervised and unsupervised.
Step 3: Know what supervised learning is. It is when the algorithm is trained on labeled data, meaning the data has correct answers.
Step 4: Realize that SVM needs labeled data to learn from. It uses this data to find patterns and make predictions.
Step 5: Conclude that since SVM requires labeled data, it falls under supervised learning.

No concepts available.