Which of the following is NOT a typical application of SVM?

Which of the following is NOT a typical application of SVM?

Step 1: Understand what SVM (Support Vector Machine) is. It is a type of machine learning algorithm used for classification and regression tasks.
Step 2: Identify typical applications of SVM. Common uses include image classification, text categorization, and bioinformatics.
Step 3: Consider the context of stock price prediction. While SVM can be applied to this area, it is not the most common or preferred method.
Step 4: Conclude that stock price prediction is not a typical application of SVM compared to other uses.

No concepts available.