Kernel regression - Regression CS294 Practical Machine...

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Regression CS294 Practical Machine Learning Romain Thibaux 09/18/06
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Outline Ordinary Least Squares regression Derivation from minimizing the sum of squares Probabilistic interpretation Online version (LMS) Overfitting and Regularization Numerical stability L 1 Regression Kernel Regression, Spline Regression Multiple Adaptive Regression Splines (MARS)
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Classification (reminder) X ! Y Anything: continuous ( , d , …) discrete ({0,1}, {1,…k}, …) structured (tree, string, …) discrete: {0,1} binary {1,…k} multi-class tree, etc. structured
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Classification (reminder) X Anything: continuous ( , d , …) discrete ({0,1}, {1,…k}, …) structured (tree, string, …)
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Classification (reminder) X Anything: continuous ( , d , …) discrete ({0,1}, {1,…k}, …) structured (tree, string, …) Perceptron Logistic Regression Support Vector Machine Decision Tree Decision Tree Random Forest Random Forest Kernel trick Kernel trick
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Kernel regression - Regression CS294 Practical Machine...

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