| Nando de Freitas – Canadian Institute For Advanced Research (CIFAR) |
University of Oxford |
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Videos |
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Starting with Undergraduate class – class 1 |
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Undergraduate class – class 33 |
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Contuning with Deep Learning class -class 1 |
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Deep learning – class 15 |
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Machine Learning – Introduction |
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Machine Learning – Linear Prediction |
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Machine Learning – Maximum Likelihood Linear Prediction |
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Machine Learning – Regularization and regression |
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Machine Learning – Regularization, cross-validation and data size |
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Machine Learning – Bayesian learning |
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Machine Learning – Bayesian part 2 |
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Machine Learning – Gaussian processes |
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Machine Learning – Gaussian processes 2 |
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Machine Learning – Bayesian optimization and multi-armed bandits |
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Machine Learning – Decision trees |
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Machine Learning – Random forests |
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Machine Learning – Random forests applications |
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Machine Learning – Unconstrainted optimization |
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Machine Learning – Logistic regression |
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Machine Learning – Neural networks |
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Machine Learning – Deep Learning 1 |
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Machine Learning – Deep Learning 2 |
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Machine Learning – Importance sampling and MCMC 1 |
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Machine Learning – Markov Chain Monte carlo (MCMC) 2 |
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Machine Learning Summer School 2014 in Pittsburgh – video 1 |
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Machine Learning Summer School 2014 in Pittsburgh – video 2 |
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Machine Learning Summer School 2014 in Pittsburgh – video 3 |
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Machine Learning Summer School 2014 in Pittsburgh – video 4 |