MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Supervised machine learning is generally used to classify data or make predictions, whereas unsupervised learning is generally used to understand relationships within datasets.

Detailed explanation-2: -Unsupervised learning is commonly used for finding meaningful patterns and groupings inherent in data, extracting generative features, and exploratory purposes.

Detailed explanation-3: -Supervised learning models help predict outcomes for future data sets, whereas unsupervised learning allows you to discover hidden patterns within a dataset without the need for human input.

Detailed explanation-4: -While supervised learning models tend to be more accurate than unsupervised learning models, they require upfront human intervention to label the data appropriately. For example, a supervised learning model can predict how long your commute will be based on the time of day, weather conditions and so on.