August 2019
Intermediate to advanced
342 pages
9h 35m
English
An algorithm that's similar to gradient boosting is the XGBoost algorithm.
It represents an extension of gradient boosting that proves to be more suitable in managing large amounts of data since it is more scalable.
XGBoost also uses the gradient descent method to minimize the residual error of the estimators, and is particularly suitable for parallel computing (a feature that makes it more suitable for cloud computing).
We will see the XGBoost algorithm in action shortly when we use IBM Watson to implement credit card fraud detection on the IBM Cloud platform.
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