(Paperback)
Macy Brand,
Independently Published (Publisher)
Ships within 12-14 days
Out Of Stock
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
