AWS sagemaker documentation change

Service: sagemaker · 2025-05-01 · Documentation low

File: sagemaker/latest/dg/xgboost-72.md

Summary

Updated link text from 'Amazon SageMaker Notebook Instances' to 'Amazon SageMaker notebook instances' (lowercase)

Security assessment

Change is a minor text formatting adjustment with no security implications.

Diff

diff --git a/sagemaker/latest/dg/xgboost-72.md b/sagemaker/latest/dg/xgboost-72.md
index 80312749e..ebe8f6100 100644
--- a//sagemaker/latest/dg/xgboost-72.md
+++ b//sagemaker/latest/dg/xgboost-72.md
@@ -94 +94 @@ SageMaker AI XGBoost currently only trains using CPUs. It is a memory-bound (as
-For a sample notebook that shows how to use the latest version of SageMaker AI XGBoost as a built-in algorithm to train and host a regression model, see [Regression with Amazon SageMaker AI XGBoost algorithm](https://sagemaker-examples.readthedocs.io/en/latest/introduction_to_amazon_algorithms/xgboost_abalone/xgboost_abalone.html). To use the 0.72 version of XGBoost, you need to change the version in the sample code to 0.72. For instructions how to create and access Jupyter notebook instances that you can use to run the example in SageMaker AI, see [Amazon SageMaker Notebook Instances](./nbi.html). Once you have created a notebook instance and opened it, select the **SageMaker AI Examples** tab to see a list of all the SageMaker AI samples. The topic modeling example notebooks using the XGBoost algorithms are located in the **Introduction to Amazon algorithms** section. To open a notebook, click on its **Use** tab and select **Create copy**.
+For a sample notebook that shows how to use the latest version of SageMaker AI XGBoost as a built-in algorithm to train and host a regression model, see [Regression with Amazon SageMaker AI XGBoost algorithm](https://sagemaker-examples.readthedocs.io/en/latest/introduction_to_amazon_algorithms/xgboost_abalone/xgboost_abalone.html). To use the 0.72 version of XGBoost, you need to change the version in the sample code to 0.72. For instructions how to create and access Jupyter notebook instances that you can use to run the example in SageMaker AI, see [Amazon SageMaker notebook instances](./nbi.html). Once you have created a notebook instance and opened it, select the **SageMaker AI Examples** tab to see a list of all the SageMaker AI samples. The topic modeling example notebooks using the XGBoost algorithms are located in the **Introduction to Amazon algorithms** section. To open a notebook, click on its **Use** tab and select **Create copy**.