MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -What is unsupervised learning? Unsupervised learning uses machine learning algorithms to analyze and cluster unlabeled data sets. These algorithms discover hidden patterns in data without the need for human intervention (hence, they are “unsupervised”).

Detailed explanation-2: -Unlabeled data is a designation for pieces of data that have not been tagged with labels identifying characteristics, properties or classifications. Unlabeled data is typically used in various forms of machine learning.

Detailed explanation-3: -Unsupervised machine learning is the training of models on raw and unlabelled training data. It is often used to identify patterns and trends in raw datasets, or to cluster similar data into a specific number of groups.

Detailed explanation-4: -Unsupervised Learning (uses unlabeled data) Unsupervised learning uses unlabeled datasets and more difficult algorithms.

Detailed explanation-5: -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.