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Let’s look at several techniques in machine learning and the math topics that are used in the process.
In linear regression, we try to find the best fit line or hyperplane for a given set of data points. We model the output of our linear function by a linear combination of the input variables using a set of parameters as weights.
The parameters are found by minimizing the residual sum of squares. We find a critical point by setting the vector of derivatives of…Continue