University of Birmingham > Talks@bham > SoCS PhD Research Training Sessions > Regression


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If you have a question about this talk, please contact Fatma Faruq.

In this talk we will give a brief introduction to Regression from a Machine Learning perspective. Regression problems are tasks in which the goal is to predict a continuous target variable from a collection of features. For example, consider the task of predicting the price of a house from features such as its size, age, condition, location etc. We will begin by reviewing the Ordinary Least Squares method, before moving onto Ridge Regression and finally Kernel Ridge Regression. For each of these methods we shall discuss both the method’s implementation and its statistical performance.

This talk is part of the SoCS PhD Research Training Sessions series.

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