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PreviousDefine machine learning. Compare and contrast the different types of learning. Include examples and explain the scenarios where each is best applied.NextA company wants to predict the sales (y) of a product based on its advertising expenditure (x). The observed data for 5 months is: | x (Advertising) | y (Sales) | |-----------------|-----------| | 1 | 3 | | 2 | 4 | | 3 | 2 | | 4 | 5 | | 5 | 7 | Calculate the regression coefficients for the linear regression model: y = w_0 + w_1 x Then, predict the value of y when x = 6.