Vowpal Wabbit

Vowpal Wabbit (also known as "VW") is an open-source fast out-of-core machine learning system library and program developed originally at Yahoo! Research, and currently at Microsoft Research.wikipedia
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John Langford (computer scientist)

John Langford
It was started and is led by John Langford.
He is the author of the weblog hunch.net and the principal developer of Vowpal Wabbit.

Online machine learning

online learningon-line learningonline
Vowpal Wabbit is notable as an efficient scalable implementation of online machine learning with support for a number of machine learning reductions, importance weighting, and a selection of different loss functions and optimization algorithms.

Stochastic gradient descent

AdaGradAdaptive Moment Estimationgradient-based learning methods
Stochastic gradient descent is a popular algorithm for training a wide range of models in machine learning, including (linear) support vector machines, logistic regression (see, e.g., Vowpal Wabbit) and graphical models.

MurmurHash

It has been adopted into a number of open-source projects, most notably libstdc++ (ver 4.6), nginx (ver 1.0.1), Rubinius, libmemcached (the C driver for Memcached), npm (nodejs package manager), maatkit, Hadoop, Kyoto Cabinet, RaptorDB, OlegDB, Cassandra, Solr, vowpal wabbit, Elasticsearch, Guava, Kafka and RedHat Virtual Data Optimizer (VDO) [ ]

Open-source software

open sourceopen-sourceopen source software
Vowpal Wabbit (also known as "VW") is an open-source fast out-of-core machine learning system library and program developed originally at Yahoo! Research, and currently at Microsoft Research.

External memory algorithm

out-of-coreexternal memoryexternal memory model
Vowpal Wabbit (also known as "VW") is an open-source fast out-of-core machine learning system library and program developed originally at Yahoo! Research, and currently at Microsoft Research.

Machine learning

machine-learninglearningstatistical learning
Vowpal Wabbit (also known as "VW") is an open-source fast out-of-core machine learning system library and program developed originally at Yahoo! Research, and currently at Microsoft Research.

Yahoo! Research

Yahoo!
Vowpal Wabbit (also known as "VW") is an open-source fast out-of-core machine learning system library and program developed originally at Yahoo! Research, and currently at Microsoft Research.

Microsoft Research

Microsoft Research CambridgeMicrosoft Research New EnglandMicrosoft Station Q
Vowpal Wabbit (also known as "VW") is an open-source fast out-of-core machine learning system library and program developed originally at Yahoo! Research, and currently at Microsoft Research.

Reduction (complexity)

reductionreducedreductions
Vowpal Wabbit is notable as an efficient scalable implementation of online machine learning with support for a number of machine learning reductions, importance weighting, and a selection of different loss functions and optimization algorithms.

Loss function

objective functioncost functionrisk function
Vowpal Wabbit is notable as an efficient scalable implementation of online machine learning with support for a number of machine learning reductions, importance weighting, and a selection of different loss functions and optimization algorithms.

Conjugate gradient method

conjugate gradientpreconditioned conjugate gradient methodconjugate gradient descent