Lab - Monitor a Model for Data Drift
Offered By: Amazon Web Services via AWS Skill Builder
Course Description
Overview
In this lab, you create a production endpoint with data capture activated, generate baseline statistics and constraints, create a SageMaker Model Monitor baseline processing job, set up CloudWatch alarms for SageMaker Model Monitor, view model performance, and start an automated workflow to retrain the model.
Objectives:
- Activate data capture for a real-time endpoint.
- Generate baseline statistics and constraints.
- Create a SageMaker Model Monitor baseline processing job./li>
- Set up alerts and notification for data drift.
- Start an automatic model retraining workflow.
Prerequisites:
- Basic navigation of the AWS Management Console
- Basic familiarity with Machine Learning concepts
Outline:
- Task 1: Set up the environment
- Task 2: Model monitoring
- Task 3: Review the automatic model retraining workflow
Tags
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent