MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -The main goal of unsupervised learning is to discover hidden and interesting patterns in unlabeled data.

Detailed explanation-2: -Unsupervised learning, also known as unsupervised machine learning, uses machine learning algorithms to analyze and cluster unlabeled datasets. These algorithms discover hidden patterns or data groupings without the need for human intervention.

Detailed explanation-3: -Unsupervised or undirected data science uncovers hidden patterns in unlabeled data. In. The objective of this class of data science techniques, is to find patterns in data based on the relationship between data points themselves. An application can employ both supervised and unsupervised learners.

Detailed explanation-4: -The goal of unsupervised learning is to predict future outcomes based on prior experience.

Detailed explanation-5: -Advantages of unsupervised machine learning include: Requires less manual data preparation (i.e., no hand labeling) than supervised machine learning. Capable of finding previously unknown patterns in data, which is impossible with supervised machine learning models.