September 2017
Beginner to intermediate
304 pages
7h 2m
English
Content preview from Machine Learning With Go
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Overview of linear regression
In linear regression, we attempt to model our dependent variable, y, by an independent variable, x, using the equation for a line:
Here, m is the slope of the line and b is the intercept. For example, let's say that we want to model daily sales by the number of users on our website each day. To do this with linear regression, we would want to determine an m and b that would allow us to predict sales via the following formula:
Thus, our trained model is really just this parameterized function. We put in a Number ...
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