COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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an ML model needs this to generate data to learn from.
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Recognition
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Training
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Predictive models
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Testing
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Explanation:
Detailed explanation-1: -Supervised machine learning models require labeled datasets which have been prepared by a data scientist. The training dataset will therefore include input and labeled output data. The model then learns the relationship between input and output data.
Detailed explanation-2: -Supervised learning is one of the most basic types of machine learning. In this type, the machine learning algorithm is trained on labeled data.
Detailed explanation-3: -What type of data does machine learning need? Data can come in many forms, but machine learning models rely on four primary data types. These include numerical data, categorical data, time series data, and text data.
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