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Št. zadetkov: 5
Video in druga učna gradiva
Oznake: computer science;machine learning
How can we represent data on a computer and use it to learn to perform useful tasks? This lecture reviews some simple classification and regression rules, discusses under- and over-fitting and emphasises the utility of defining objective functions for learning. There is also a short overview of Baye ...
Leto: 2010 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;gaussian processes
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;monte carlo methods;mathematics;statistics
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake: mathematics;statistics;computer science;machine learning;monte carlo methods;gaussian processes
The Gaussian process (GP) is a popular way to specify dependencies between random variables in a probabilistic model. In the Bayesian framework the covariance structure can be specified using unknown hyperparameters. Integrating over these hyperparameters considers different possible explanations fo ...
Leto: 2010 Vir: videolectures.net
Video in druga učna gradiva
Oznake: astronomy;cosmology;computer science;machine learning
Leto: 2011 Vir: videolectures.net
Št. zadetkov: 5
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