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Machine Learning with R
Overview
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
This item is Non-Returnable
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Details
- ISBN-13: 9789811068072
- ISBN-10: 9811068070
- Publisher: Springer
- Publish Date: December 2017
- Dimensions: 9.21 x 6.14 x 0.56 inches
- Shipping Weight: 1.11 pounds
- Page Count: 210
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