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)

image Machine learning has spawned a fundamentally new ...

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