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• Lecture - 8.3.1 Soft-Margin SVM

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• Lecture - 6.3.4 Ridge Regression versus Lasso

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• Lecture - 6.3.2 Ridge Regression

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• Lecture - 5.2.4 Learning Curve: How Much Data do we Need?

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• Lecture - 4.3.2 How to use Gradient Descent in Practice?

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• Lecture - 3.3.2 Building a “Simple” Classifier Using Nearest Neighbours

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• Lecture - 3.3.1 Building a “Simple” Classifier Using Nearest Means

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• Lecture - 3.2.3 The Bayes Error

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• Lecture - 3.2.2 Building a “Simple” Classifier Using Histograms

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• Lecture - 2.2.2 What is a “Good” Regression Model? MSE, MAE

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