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Gradient Boosting Trees: A Beginner's Guide For Gradient Boosting: Machine Learning For Dummies
Paperback
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Publisher: Independently Published
Published: Mar 12 2021
Pages: 214
Weight: 0.70
Height: 0.49 Width: 5.98 Depth: 9.02
Language: English
The gradient boosted tree has been around for a while, and there are a lot of materials on the topic. This Gradient Boosting Trees book will explain boosted trees in a self-contained and principled way using the elements of supervised learning.
The topics covered in this Gradient Boosting Trees book are
- How do decision trees work
- What are some of the failings of decision trees, and where do they differ from how a human would solve the problem
- How can multiple decision trees be stacked together into Gradient Boosted Trees
- How to use the Boosting algorithm to make predictions
- How is the Boosting algorithm different for regression vs. classification with two categories vs. classification with multiple categories
- How to use Cross-Validation to check your model
- How to use Feature Engineering to improve the results from the machine learning algorithm
- And More
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