MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Machine learning, deep learning, and neural networks are all sub-fields of artificial intelligence. However, neural networks is actually a sub-field of machine learning, and deep learning is a sub-field of neural networks. The way in which deep learning and machine learning differ is in how each algorithm learns.

Detailed explanation-2: -Each is essentially a component of the prior term. That is, machine learning is a subfield of artificial intelligence. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms.

Detailed explanation-3: -Deep learning is a subset of machine learning, and machine learning is a subset of Artificial Intelligence, an important parameter for any intelligent computer programme. In other terms, all machine learning is Artificial Intelligence, but not all Artificial Intelligence is machine learning, and so on.

Detailed explanation-4: -What are the differences between machine learning and neural networks? Machine learning, a subset of artificial intelligence, refers to computers learning from data without being explicitly programmed. Neural networks are a specific type of machine learning model, which are used to make brain-like decisions.

Detailed explanation-5: -In simple terms, machine learning is a subfield of artificial intelligence. Neural networks are a subfield of machine learning. And deep learning algorithms are an advancement on the concept of neural networks.