COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Supervised Learning
|
|
|
Unsupervised Learning
|
|
|
Reinforcement Learning
|
|
|
Learning and Techniques
|
Detailed explanation-1: -Labeled data is used in supervised learning, whereas unlabeled data is used in unsupervised learning .
Detailed explanation-2: -Supervised learning is a type of machine learning method in which we provide sample labeled data to the machine learning system in order to train it, and on that basis, it predicts the output.
Detailed explanation-3: -Supervised learning, also known as supervised machine learning, is defined by its use of labeled datasets to train algorithms to classify data or predict outcomes accurately.
Detailed explanation-4: -Today, most practical machine learning models utilize supervised learning, which applies an algorithm to map one input to one output. For supervised learning to work, you need a labeled set of data that the model can learn from to make correct decisions.