introduction to AI, matrix algebra-1

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introduction to AI, matrix algebra-2

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regularization, VC dimension-1

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regularization, VC dimension-2

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Bayes estimator, MCMC, EM-1

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Bayes estimator, MCMC, EM-2

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nonparametric regression-1

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nonparametric regression-2

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LDA, logistic regression, kernel density estimation-1

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LDA, logistic regression, kernel density estimation-2

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support vector machines

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bagging, boosting, random forest-1

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bagging, boosting, random forest-2

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issues in neural networks-1

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issues in neural networks-2

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k-means clustering, topics in neural networks-1

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k-means clustering, topics in neural networks-2

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hierachical clustering, self organizing map, spectral clustering-1

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hierachical clustering, self organizing map, spectral clustering-2

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kernel components, surfaces, curves-1

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kernel components, surfaces, curves-2

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deep neural network, convolutional neural network-1

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deep neural network, convolutional neural network-2

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autoencoder, deep belief network, restricted Boltzman machine-1

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autoencoder, deep belief network, restricted Boltzman machine-2

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