MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Supervised learning is a subset of artificial intelligence and machine learning. It is also known as Supervised machine learning. And is defined by its ability to train algorithms to categorize data and predict outcomes accurately. Moreover, it teaches computer systems to find hidden insights using the available data.

Detailed explanation-2: -Supervised learning is a machine learning approach that’s defined by its use of labeled datasets. These datasets are designed to train or “supervise” algorithms into classifying data or predicting outcomes accurately. Using labeled inputs and outputs, the model can measure its accuracy and learn over time.

Detailed explanation-3: -With supervised learning you use labeled data, which is a data set that has been classified, to infer a learning algorithm. The data set is used as the basis for predicting the classification of other unlabeled data through the use of machine learning algorithms.

Detailed explanation-4: -In applied Statistics and Machine Learning, Data Visualization is one of the most important skills. Data visualization provides an important suite of tools for identifying a qualitative understanding.