Machine Learning Lectures
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Lectures 1,2,3,4: Introduction, Google and the SVD.
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Lectures 5,6,7: Probability and linear supervised learning.
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Lecture 8: Maximum Likelihood & Bayesian Learning.
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Lectures 9,10: Monte Carlo.
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Lecture 11: Kernel Ridge Regression.
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Lecture 11: Semi-supervised Learning with Kernels.
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Lectures 12,13: Reproducing Kernel Hilbert Space, Kernel PCA and Active Learning.
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