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 + Program = output
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Data+ output = Program
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Data + Algorithm = Program
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Data + program = output
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Detailed explanation-1: -Explanation: The best describes machine learning is a combination of different capabilities orchestrated and working together.
Detailed explanation-2: -A machine learning model is similar to computer software designed to recognize patterns or behaviors based on previous experience or data. The learning algorithm discovers patterns within the training data, and it outputs an ML model which captures these patterns and makes predictions on new data.
Detailed explanation-3: -The output of ML algorithms is whatever you want it to be. For example: Regression: 1 value. Classification: n classes (with the probability of the input is a member of that class)
Detailed explanation-4: -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.