AWS Machine Learning Blog
Category: Amazon SageMaker Autopilot
Deploying your own data processing code in an Amazon SageMaker Autopilot inference pipeline
The machine learning (ML) model-building process requires data scientists to manually prepare data features, select an appropriate algorithm, and optimize its model parameters. It involves a lot of effort and expertise. Amazon SageMaker Autopilot removes the heavy lifting required by this ML process. It inspects your dataset, generates several ML pipelines, and compares their performance […]