## Lectures

Lectures 1: Introduction to machine learning and data mining.

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Lectures 2: The Singular Value Decomposition (SVD)

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Lectures 3: The SVD, LSI and PCA

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Lectures 4: Linear supervised learning.

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Lectures 5,6,7: Probability, regularization, maximum likelihood and Bayesian learning.

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Lectures 8: Gaussian processes.

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Lectures 9: Unsupervised learning.

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