August 2018
Intermediate to advanced
422 pages
12h 39m
English
Content preview from TensorFlow Machine Learning Cookbook - Second Edition
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Implementing lasso and ridge regression
There are also ways to limit the influence of coefficients on the regression output. These methods are called regularization methods, and two of the most common regularization methods are lasso and ridge regression. We cover how to implement both of these in this recipe.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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