Which type of machine learning should you use to predict the number of gift cards that will be sold next month?
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A. B. C.B
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regressionThe correct answer is B. regression.
In machine learning, regression is a type of supervised learning that involves predicting a continuous numeric output value based on input features. Regression models are commonly used to make predictions about future trends or values, such as predicting the number of gift cards that will be sold next month.
Classification, on the other hand, is another type of supervised learning that involves predicting a categorical output value based on input features. For example, predicting whether a customer is likely to purchase a gift card or not.
Clustering is an unsupervised learning technique that involves grouping data points into clusters based on similarities between them. It is not typically used for prediction tasks.
Therefore, for predicting the number of gift cards that will be sold next month, regression is the most appropriate type of machine learning to use. A regression model can take into account historical data on gift card sales and other relevant factors, such as seasonality, promotions, and economic conditions, to make accurate predictions about future sales trends.