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The Vowpal Wabbit (VW) project is a fast out-of-core learning system sponsored by Microsoft Research and (previously) Yahoo! Research. There are two ways to have a fast learning algorithm: (a) start with a slow algorithm and speed it up, or (b) build an intrinsically fast learning algorithm. This project is about approach (b), and it's reached a state where it may be useful to others as a platform for research and experimentation. There are several optimization algorithms available with the baseline being sparse gradient descent (GD) on a loss function (several are available). WWW: https://github.com/JohnLangford/vowpal_wabbit/wiki
13 lines
644 B
Plaintext
13 lines
644 B
Plaintext
The Vowpal Wabbit (VW) project is a fast out-of-core learning system
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sponsored by Microsoft Research and (previously) Yahoo! Research.
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There are two ways to have a fast learning algorithm: (a) start with a slow
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algorithm and speed it up, or (b) build an intrinsically fast learning
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algorithm. This project is about approach (b), and it's reached a state
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where it may be useful to others as a platform for research and experimentation.
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|
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There are several optimization algorithms available with the baseline
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being sparse gradient descent (GD) on a loss function (several are available).
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WWW: https://github.com/JohnLangford/vowpal_wabbit/wiki
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