Learn TensorFlow: Linear Regression

Introduction to Linear Regression

An important algorithm of supervised learning is linear regression. In this article, I am going to re-use the following notations that I have referred from [1] (in the References section).

xi denotes the “input” variables, also called input features yi denotes the “ouput” or target variable that we are trying to predict A pair (xi, yi) is called a training example A list of m training examples {xi, yi; i = 1,…,m} is called a training set The...

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