MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Machine learning and deep learning are both types of AI. In short, machine learning is AI that can automatically adapt with minimal human interference. Deep learning is a subset of machine learning that uses artificial neural networks to mimic the learning process of the human brain.

Detailed explanation-2: -There are four main categories of Machine Learning algorithms: supervised, unsupervised, semi-supervised, and reinforcement learning. Even though classification and regression are both from the category of supervised learning, they are not the same.

Detailed explanation-3: -The three machine learning types are supervised, unsupervised, and reinforcement learning.

Detailed explanation-4: -Deep learning uses supervised learning in situations such as image classification or object detection, as the network is used to predict a label or a number (the input and the output are both known). As the labels of the images are known, the network is used to reduce the error rate, so it is “supervised”.