What is boosting?

Analytics James Nunns 06:07, September 12 2016 Making machines smarter. Boosting is a way of making machines better at predicting in a more accurate manner by reducing bias and variance in supervised learning. Robert Schapire and Yoav Freund were the first to create boosting algorithms, a list of words required to logically solve a problem, in 1988/99.  These two created the algorithms on the premise of optimising machine learning, with Freund’s algorithm stating that boosting would be conducted by a majority in which many ‘weaker’ learning machines were combined to create a better-performing one. get a cbr Big Data weekly update Registered Successfully Unable to register now Terms & Conditions & Privacy Policy.


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