COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Artificial Intelligence
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Machine Learning
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Deep Learning
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Traditional Learning
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Detailed explanation-1: -Explanation : Machine Learning algorithms enable the computers to learn from data, and even improve themselves, without being explicitly programmed.
Detailed explanation-2: -Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
Detailed explanation-3: -Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
Detailed explanation-4: -Machine learning (ML) is the application of computer algorithms that improve automatically through experience. Machine learning algorithms build a model based on sample data, known as “training data, ” in order to make predictions or decisions without being explicitly programmed to do so.
Detailed explanation-5: -Gradient Boosting Algorithm and AdaBoosting Algorithm are boosting algorithms used when massive loads of data have to be handled to make predictions with high accuracy.