Porosity Prediction with Amazon Sagemaker's XGBoost Algoirithm

4 052
58.7
Опубликовано 12 июля 2018, 20:27
Learn more about AWS for Oil & Gas at - 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.
автотехномузыкадетское