`AWeber <http://aweber.com/>`_

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The scikit-learn toolkit is indispensable for the Data Analysis and Management

team at AWeber. It allows us to do AWesome stuff we would not otherwise have

the time or resources to accomplish. The documentation is excellent, allowing

new engineers to quickly evaluate and apply many different algorithms to our

data. The text feature extraction utilities are useful when working with the

large volume of email content we have at AWeber. The RandomizedPCA

implementation, along with Pipelining and FeatureUnions, allows us to develop

complex machine learning algorithms efficiently and reliably.

Anyone interested in learning more about how AWeber deploys scikit-learn in a

production environment should check out talks from PyData Boston by AWeber's

Michael Becker available at https://github.com/mdbecker/pydata_2013

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Michael Becker, Software Engineer, Data Analysis and Management Ninjas

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