Official Google Cloud Certified Professional Data Engineer Study Guide

Chapter 11Measuring, Monitoring, and Troubleshooting Machine Learning Models

Google Cloud Professional Data Engineer Exam objectives covered in this chapter include the following:

• 3. Operationalizing machine learning models
  • ✔ 3.4 Measuring, monitoring, and troubleshooting machine learning models. Considerations include:
    • Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics)
    • Impact of dependencies of machine learning models
    • Common sources of error (e.g., assumptions about data)

Machine learning has spawned a fundamentally new ...