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none of the traditions could remain vital or thrive together without a sustained practice of self-critique
Bill Green interweaves the story of his own lifelong evolution as a scientist
must rely on making good marriages as their means of support
battling to lead his oppressed people to freedom
a moving personal detective story and an uncovering of secret pasts
Boosting: Foundations and Algorithms community none of the traditions couldAuthor Contributor(s): Schapire, Robert E.; Freund, Yoav Publisher: The MIT Press Date: 1 10 2014 Binding: Paperback Condition: NEW An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate rules
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