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Large Scale Model-Based Machine Learning
Published on Nov 07, 20132686 Views
Model-Based Machine Learning using deterministic approximations is well suited to large scale environments, since it allows practitioners to develop sophisticated models that can still be solved effic
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Chapter list
Large scale model-based machine learning00:00
Model-based machine learning00:17
Stages of mbml02:31
Potential benefits of mbml03:32
Cost of bayesian inference04:55
Deterministic approximations05:45
Infer.net - how it works07:07
Inference in infer.net09:26
Standard models supported10:18
Scaling up inference11:01
Community models15:07
An example: recommedation16:14
Matchbox - 118:02
Matchbox - 218:46
Matchbox - 319:01
Matchbox - 419:16
Matchbox - 519:26
Demo21:43
Xbox live23:07
Summary23:36