Page Summary: Dimensionality reduction: feature extraction with PCA; self-organzing.

Aa 19 20 Lecture 16 -

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AA 19/20 Lecture 16

AA 19/20 Lecture 16

Dimensionality reduction: feature extraction with PCA; self-organzing.

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AA 19/20 Lecture 15

Introduction to unsupervised learning. Data visualization and feature selection.

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Probabilistic Clustering: mixture models. Expectation-Maximization revisited. Graphical methods, Hidden markov models.

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AA 19/20 Lecture 12

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AA 19/20 Lecture 11

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Multiclass classification. Bootstrapping. Bias-variance decomposition and tradeoff.