hennig: videos

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1. 1▶Numerics of ML 14 -- Conclusion -- Philipp HennigNumerics of Machine Learning (Winter 2022/23)Notes
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2. 2▶Numerics of ML 13 -- Uncertainty in Deep Learning -- Agustinus KristiadiNumerics of Machine Learning (Winter 2022/23)Notes
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3. 3▶Numerics of ML 12 -- Second-Order Optimization for Deep Learning -- Lukas TatzelNumerics of Machine Learning (Winter 2022/23)Notes
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4. 4▶Numerics of ML 11 --Optimization for Deep Learning -- Frank SchneiderNumerics of Machine Learning (Winter 2022/23)Notes
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5. 5▶Numerics of ML 10 -- Bayesian Quadrature -- Philipp HennigNumerics of Machine Learning (Winter 2022/23)Notes
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6. 6▶Numerics of ML 9 -- Monte Carlo -- Philipp HennigNumerics of Machine Learning (Winter 2022/23)Notes
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7. 7▶Numerics of ML 8 -- Partial Differential Equations -- Marvin PförtnerNumerics of Machine Learning (Winter 2022/23)Notes
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8. 8▶Numerics of ML 6 -- Solving Ordinary Differential Equations -- Nathanael BoschNumerics of Machine Learning (Winter 2022/23)Notes
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9. 9▶Numerics of ML 7 -- Probabilistic Numerical ODE Solvers -- Nathanael BoschNumerics of Machine Learning (Winter 2022/23)Notes
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10. 10▶Numerics of ML 5 -- State-Space Models -- Jonathan SchmidtNumerics of Machine Learning (Winter 2022/23)Notes
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