Porosity Prediction with Amazon Sagemaker's XGBoost Algoirithm


Learn more about AWS for Oil & Gas at – https://amzn.to/2KR6VM5.
In this demo, we will use Amazon SageMaker’s XGBoost algorithm to train and host a regression model in minutes, to predict porosity from well log measurements with 95% accuracy. Porosity is just one attribute you can train your model to predict. Watch this demo to learn how to extract insights faster and more effectively with AWS Machine Learning.


Duration: 2:31
Publisher: Amazon Web Services
You can watch this video also at the source.


Furlow consulting