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Unsupervised Learning (STAT 841), Winter 2017

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Ali Ghodsi, Lec 15: t-SNE

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Ali Ghodsi, Lec 14: Autoencoders, Clustering, Mixture of Gaussians

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Ali Ghodsi, Lec 13: Word2Vec Skip-Gram

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Ali Ghodsi, Lec 12: Neural Networks, Autoencoders, Word2Vec

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Ali Ghodsi, Lec 10: NMF via R1D algorithm

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Ali Ghodsi, Lec 9: SPCA, Nystrom Approximation, NMF

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Ali Ghodsi, Lec11: Sum-Product Networks

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Ali Ghodsi, Lec 8: Supervised PCA

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Ali Ghodsi, Lec 7: MVU, Action Respecting Embedding, Supervised PCA

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Ali Ghodsi, Lec 6: Spectral Clustering, Laplacian Eigenmap, MVU

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Ali Ghodsi, Lec 5: LLE, Spectral Clustering

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Ali Ghodsi, Lec 4: MDS, Isomap, LLE

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Ali Ghodsi, Lec 1: Principal Component Analysis

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Ali Ghodsi, Lec 2: PCA (Ordinary, Dual, Kernel)

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