If a machine is attempting to reduce the dimensions in a dataset it is using:
A)Reinforcement Learning.
B)Unsupervised Learning.
C)Supervised Learning.
D)Matrix Learning.

Question

Quizplus · Accepted Answer

Dimensionality reduction is a form of unsupervised learning, where the algorithm attempts to find patterns and structure in the data without any predefined labels or classifications. Reinforcement learning involves training a machine to interact with an environment and receive rewards or punishments based on its actions, while supervised learning relies on labeled data to make predictions or classifications. Matrix learning is not a recognized subfield of machine learning.

If a Machine Is Attempting to Reduce the Dimensions in a Dataset