Transcription of Linear Regression and Support Vector Regression
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Linear Regression and Support Vector RegressionPaul university of Adelaide24 October 2012 Outlines Regression overview Linear Regression Support Vector Regression Machine learning tools availableRegression OverviewCLUSTERINGCLASSIFICATIONREGRESSI ON (THIS TALK)K-means Decision tree Linear DiscriminantAnalysis Neural Networks Support Vector Machines Boosting Linear Regression Support Vector RegressionGroupdata based on their characteristicsSeparatedata based on their labelsFinda model that can explain the output given the input++++++++++++++++++++++------+++++++ +Data processing flowchart (Income prediction)Pre-processing(noise/outlier removal)Feature extraction and selectionRegressionRaw dataProcessed data++++++++ , , , (should have been 25!!!)Height and sex seem to be irrelevant.
The University of Adelaide 24 October 2012. Outlines •Regression overview •Linear regression •Support vector regression •Machine learning tools available. Regression Overview CLUSTERING CLASSIFICATION REGRESSION (THIS TALK) K-means •Decision tree •Linear Discriminant Analysis
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