MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Machine learning is an application of artificial intelligence that uses statistical techniques to enable computers to learn and make decisions without being explicitly programmed. It is predicated on the notion that computers can learn from data, spot patterns, and make judgments with little assistance from humans.

Detailed explanation-2: -Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Detailed explanation-3: -The two main processes of machine learning algorithms are classification and regression. Machine learning (ML) algorithms are broadly categorized as either supervised or unsupervised.

Detailed explanation-4: -According to Arthur Samuel, Machine Learning algorithms enable the computers to learn from data, and even improve themselves, without being explicitly programmed.

Detailed explanation-5: -The learning algorithm’s task is to learn the weights for the model. The weights describe the likelihood that the patterns that the model is learning reflect actual relationships in the data. A learning algorithm consists of a loss function and an optimization technique.