COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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measure the accuracy of your model, create the model
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the output generated when you train your machine learning algorithm with data.
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A form of artificial intelligence that provides computers with the ability to learn without being explicitly programmed.
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a subdiscipline of computer science that attempts to simulate human thinking
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Detailed explanation-1: -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-2: -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-3: -Training a model simply means learning (determining) good values for all the weights and the bias from labeled examples. In supervised learning, a machine learning algorithm builds a model by examining many examples and attempting to find a model that minimizes loss; this process is called empirical risk minimization.