May 2018
Beginner to intermediate
384 pages
10h 19m
English
book
Artificial Intelligence for Big Data
by Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo Zaccone
Content preview from Artificial Intelligence for Big Data
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Linear regression
With linear regression, we model the relationship between the dependent variable, y, and an explanatory variable or independent variable, x. When there is one independent variable, it is called simple linear regression, and in the case of multiple independent variables, the regression is called multiple linear regression. The predictor function in the case of linear regression is a straight line (refer to figure 4 for an illustration). The regression line defines the relationship between x and y. When the value of y increases when x increases, there is a positive relationship between x and y. Similarly, when x and y are inversely proportional, there is a negative relationship between x and y. The line should be plotted on ...
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