COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Algorithm
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Machine Learning
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Deep Learning
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Neural Network
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Detailed explanation-1: -In Machine Learning, this theory can be applied in training computer programs. Concept Learning: Inferring a Boolean-valued function from training examples of its input and output. A concept is an idea of something formed by combining all its features or attributes which construct the given concept.
Detailed explanation-2: -42. What is true about Machine Learning? The main focus of ML is to allow computer systems to learn from experience without being explicitly programmed or human intervention. ML is a type of artificial intelligence that extracts patterns out of raw data by using an algorithm or method.
Detailed explanation-3: -Unsupervised Learning It is used to draw inferences from datasets consisting of input data without labeled responses. Clustering is the most common unsupervised learning technique. It is used for exploratory data analysis to find hidden patterns or groupings in data.
Detailed explanation-4: -Unsupervised learning uses machine learning algorithms to analyze and cluster unlabeled data sets. These algorithms discover hidden patterns in data without the need for human intervention (hence, they are “unsupervised”).