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Month: February 2014

Logistic Regression

February 10, 2014 / 12 Comments

With the background of Linear Regression, it is super easy to understand Logistic Regression. What we do in a linear regression problem, is to guess a hyperplane, that can represent the relationship between X and Y; however in logistic regression problem, we do nothing but guess a hyperplane, which can classify X1 and X2, that … [Read more…]

Posted in: Algorithm, Machine Learning Tagged: Gradient Descent, Logistic Regression, Machine Learning, Matlab, Sigmoid
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