MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -A supervised learning algorithm takes a known set of input data and known responses to the data (output) and trains a model to generate reasonable predictions for the response to new data.

Detailed explanation-2: -Regression and classification algorithms are the most popular options for predicting values, identifying similarities, and discovering unusual data patterns.

Detailed explanation-3: -Supervised machine learning algorithm. At its most basic sense, machine learning uses programmed algorithms that learn and optimise their operations by analysing input data to make predictions within an acceptable range. With the feeding of new data, these algorithms tend to make more accurate predictions.

Detailed explanation-4: -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-5: -In other words, unsupervised learning allows the system to identify patterns within data sets on its own. In unsupervised learning, an AI system will group unsorted information according to similarities and differences even though there are no categories provided.