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Machine Learning with R
Hardcover
ISBN13: 9789811068072
Publisher: Springer Nature
Published: Dec 7 2017
Pages: 210
Weight: 1.11
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English
Help readers understand the mathematical interpretation of learning algorithms
Teach the basics of linear algebra, probability, and data distributions and how they are essential in formulating a learning algorithmHelp readers construct and modify their own learning algorithms, such as ridge and lasso regression, decision trees, boosted trees, k-nearest neighbors, etc
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