Saturday Morning Videos: Machine Learning Summer School, Iceland 2014

Here are all 41 hours of courses given in Iceland this Summer at the Machine Learning Summer School. Enjoy the rest fo your week-end. I know...you're welcome.

Introduction to Machine Learning -- Neil Lawrence (Part 1)
MLSS Iceland 2014 1:13:30


 
  What is Machine Learning: A Probabilistic Perspective -- Neil Lawrence (Part 2)
MLSS Iceland 2014 1:30:31


 
  Deep Learning -- Yoshua Bengio (Part 1)
MLSS Iceland 2014 1:28:22


 
  Deep Learning -- Yoshua Bengio (Part 2)
MLSS Iceland 2014 1:32:43


 
  Deep Learning -- Yoshua Bengio (Part 3)
MLSS Iceland 2014 1:22:26


 
  Probabilistic Modelling -- Iain Murray (Part 1)
MLSS Iceland 2014 1:27:35


 
  Probabilistic Modelling -- Iain Murray (Part 2)
MLSS Iceland 2014 1:25:44


 
  Probabilistic Modelling -- Iain Murray (Part 3)
MLSS Iceland 2014 1:29:02



Big Data and Large Scale Inference -- Amr Ahmed (Part 1)
MLSS Iceland 2014 1:26:06


 
  Big Data and Large Scale Inference -- Amr Ahmed (Part 2)
MLSS Iceland 2014 1:33:21


 
  Efficient Bayesian inference with Hamiltonian Monte Carlo -- Michael Betancourt (Part 1)
MLSS Iceland 2014 1:29:43


 
  Hamiltonian Monte Carlo and Stan -- Michael Betancourt (Part 2)
MLSS Iceland 2014 42:26


 
  Kernel methods and computational biology -- Jean-Philippe Vert (Part 1)
MLSS Iceland 2014 1:23:26


 
  Kernel methods and computational biology -- Jean-Philippe Vert (Part 2)
MLSS Iceland 2014 1:31:07


 
  Kernel methods and computational biology -- Jean-Philippe Vert (Part 3)
MLSS Iceland 2014 1:38:43


 
  Probabilistic Programming and Bayesian Nonparametrics -- Frank Wood (Part 1)
MLSS Iceland 2014 1:33:57



Probabilistic Programming and Bayesian Nonparametrics -- Frank Wood (Part 2)
MLSS Iceland 2014 2:06:02



Probabilistic Programming and Bayesian Nonparametrics -- Frank Wood (Part 3)
MLSS Iceland 2014 25:36


 
  Probabilistic Modeling and Inference at Scale -- Ralf Herbrich (Part 1)
MLSS Iceland 2014 1:23:22


 
  Probabilistic Modeling and Inference at Scale -- Ralf Herbrich (Part 2)
MLSS Iceland 2014 1:37:42


 
  Submodularity and Optimization -- Jeff Bilmes (Part 1)
MLSS Iceland 2014 1:29:54



Submodularity and Optimization -- Jeff Bilmes (Part 2)
MLSS Iceland 2014 1:26:26


 
  Submodularity and Optimization -- Jeff Bilmes (Part 3)
MLSS Iceland 2014 1:27:39


 
  Bayesian Uncertainty Quantification for Differential Equations -- Mark Girolami (Part 1)
MLSS Iceland 2014 1:30:56


 
  Bayesian Uncertainty Quantification for Differential Equations -- Mark Girolami (Part 2)
MLSS Iceland 2014 1:32:51


 
  Robust Inference -- Chris Holmes (Part 1)
MLSS Iceland 2014 1:15:35


 
  Robust Inference -- Chris Holmes (Part 2)
MLSS Iceland 2014 1:34:07


 
  Theoretical Issues in Statistical Learning -- Timo Koski (Part 1)
MLSS Iceland 2014 1:26:15


 
  Theoretical Issues in Statistical Learning -- Timo Koski (Part 2)

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