TY  - BOOK
AU  - Mona,Mona
AU  - Ramamurthy,Pratap
TI  - Official Google Cloud Certified Professional Machine Learning Engineer study guide
T2  - Sybex study guide series
SN  - 9781119944461
U1  - 004.6782 
PY  - 2024///]
CY  - Hoboken, New Jersey
PB  - John Wiley & Sons
KW  - Cloud computing
KW  - Examination
KW  - Study guides
KW  - Management
KW  - Electronic data processing personnel
KW  - Certification
N1  - 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
ER  -