Type of course:
Digital learning, Lesson
Language:
EN
Duration:
15 minutes
Workload:
2 hours
Proficiency:
Beginner
Target:
Professionals, Students
This nugget focuses on evaluating the learner’s gained knowledge about model maintenance for machine learning. It employs multiple-choice, drag-and-drop, and true/false questions. Learners are expected to achieve at least a 70% grade to attain a successful completion of this quiz nugget.This evaluation explores the definition of dataset shifts, types of prediction shifts, and how they relate within a framework of model maintenance. It assesses the distinction of causes and types of model performance degradation, the definition of shift detection metrics, and the different solutions for model correction when shifts are detected.
Learning outcomes
- The learner will be able to differentiate the concept of model maintenance from total retraining of the model
- The learner will distinguish between supervised and unsupervised model adjustment
- The learner will define and interpret the detection metrics and map them to the possible causes of dataset shifts and types of prediction shifts
Course Content
Topics
Digital Transformation, Artificial Intelligence (AI), Data Analytics