Which of the following machine learning methods is a type of ensemble learning that combines multiple decision trees?
Question 2
In the context of machine learning for remote sensing, what is the primary purpose of 'feature engineering'?
Question 3
When evaluating a machine learning model's performance in remote sensing, what does a 'confusion matrix' primarily help to visualize?
Question 4
Which of the following is a key advantage of using 'Deep Learning' for complex remote sensing tasks, such as object detection in high-resolution imagery?
Question 5
In the context of 'Support Vector Machines (SVMs)' for remote sensing, what is the role of a 'kernel function'?
