COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Nearest neighbour algo
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K means clustering algo
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Bayesian Decision Theory
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Turing Test
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Detailed explanation-1: -K-Nearest Neighbor (KNN) KNN aims for pattern recognition tasks. K-Nearest Neighbor also known as KNN is a supervised learning algorithm that can be used for regression as well as classification problems. Generally, it is used for classification problems in machine learning.
Detailed explanation-2: -The k-nearest neighbors (KNN) algorithm is a simple, supervised machine learning algorithm that can be used to solve both classification and regression problems. It’s easy to implement and understand, but has a major drawback of becoming significantly slows as the size of that data in use grows.
Detailed explanation-3: -K-Nearest Neighbour is one of the simplest Machine Learning algorithms based on Supervised Learning technique. K-NN algorithm assumes the similarity between the new case/data and available cases and put the new case into the category that is most similar to the available categories.
Detailed explanation-4: -KNN (K-Nearest Neighbors) is one of many (supervised learning) algorithms used in data mining and machine learning, it’s a classifier algorithm where the learning is based “how similar” is a data (a vector) from other .