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Deep Learning -- Yoshua Bengio (Part 1)

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Deep Learning -- Yoshua Bengio (Part 3)

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Kernel methods and computational biology -- Jean-Philippe Vert (Part 1)

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Introduction to Machine Learning -- Neil Lawrence (Part 1)

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Probabilistic Modelling -- Iain Murray (Part 2)

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Big Data and Large Scale Inference -- Amr Ahmed (Part 2)

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Hamiltonian Monte Carlo and Stan -- Michael Betancourt (Part 2)

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What is Machine Learning: A Probabilistic Perspective -- Neil Lawrence (Part 2)

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Deep Learning -- Yoshua Bengio (Part 2)

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Probabilistic Modelling -- Iain Murray (Part 3)

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