Adding An Intercept – Intro to Machine Learning

Adding An Intercept – Intro to Machine Learning


And I’d say it’s now 255. Before, 6.25 times 36 equals 225. And we’re now adding 30 and we get 255. And as you can see, with this continuous machine learning example, called a Regression. You can make continuous predictions for any age in between. And you get a meaningful answer that differs continuously with the variation of the input parameter. That’s not possible in discrete classifications. In fact if you were to draw a discrete classification into here, it might look very much like this where for an entire range of the input space the output stays the same

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