data_mining:large_datasets

# Differences

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 data_mining:large_datasets [2014/09/06 14:41]phreazer data_mining:large_datasets [2014/09/06 14:45] (current)phreazer [Online Learning] 2014/09/06 14:45 phreazer [Online Learning] 2014/09/06 14:41 phreazer 2014/09/06 14:38 phreazer [Stochastic gradient descent] 2014/09/06 14:30 phreazer [Stochastic gradient descent] 2014/09/06 14:27 phreazer [Stochastic gradient descent] 2014/09/06 14:24 phreazer [Algorithmen] 2014/09/04 23:09 phreazer [Algorithmen] 2014/09/04 23:02 phreazer [Algorithmen] 2014/09/04 22:56 phreazer 2014/09/04 22:52 phreazer 2014/09/04 22:52 phreazer 2014/09/04 22:45 phreazer angelegt 2014/09/06 14:45 phreazer [Online Learning] 2014/09/06 14:41 phreazer 2014/09/06 14:38 phreazer [Stochastic gradient descent] 2014/09/06 14:30 phreazer [Stochastic gradient descent] 2014/09/06 14:27 phreazer [Stochastic gradient descent] 2014/09/06 14:24 phreazer [Algorithmen] 2014/09/04 23:09 phreazer [Algorithmen] 2014/09/04 23:02 phreazer [Algorithmen] 2014/09/04 22:56 phreazer 2014/09/04 22:52 phreazer 2014/09/04 22:52 phreazer 2014/09/04 22:45 phreazer angelegt Line 52: Line 52: ===== Online Learning ===== ===== Online Learning ===== + Wenn kontinuierlicher Datenzufluss. + Lernen von $p(y=1|x;\theta)$ um Preis zu optimieren. Lernen von $p(y=1|x;\theta)$ um Preis zu optimieren. + + Repeat forever { + Get (x,y) corresponding to user. + Update \theta using (x,y) + \theta_j = \theta_j - \alpha (h_\theta(x)-y) x_j + } +
• data_mining/large_datasets.txt