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The Data Science Lab Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, pseudo-inverse training does not require any parameters and so it is especially simple to use. The goal of a machine learning regression problem is to predict a single numeric value.
The Data Science Lab KRR is especially useful when there is limited training data, says Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step tutorial. The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict a person's annual income based on their age, number years of schooling, high school grade point average and so on.
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