Official Google Cloud Certified Professional Machine Learning Engineer study guide
/ Mona Mona, Pratap Ramamurthy
- xl, 327 pages : illustrations
- Sybex study guide series .
Includes index.
Chapter 1. Framing ML problems Chapter 2. Exploring data and building data pipelines Chapter 3. Feature engineering Chapter 4. Choosing the right ML infrastructure Chapter 5. Architecting ML solutions Chapter 6. Building secure ML pipelines Chapter 7. Model building Chapter 8. Model training and hyperparameter tuning Chapter 9. Model explainability on Vertex AI Chapter 10. Scaling models in production Chapter 11. Designing ML training pipelines Chapter 12. Model monitoring, tracking, and auditing metadata Chapter 13. Maintaining ML solutions Chapter 14. BigQuery ML Appendix. Answers to review questions
9781119944461
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