Official Google Cloud Certified Professional Machine Learning Engineer study guide / Mona Mona, Pratap Ramamurthy
Material type:
TextSeries: Sybex study guide seriesPublisher: Hoboken, New Jersey : John Wiley & Sons, [2024]Description: xl, 327 pages : illustrationsContent type: - text
- unmediated
- volume
- 9781119944461
- 004.6782
| Item type | Current library | Collection | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|---|
Book
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Lagro Branch Reference Section | Reference | R 004.6782 M734o 2024 (Browse shelf(Opens below)) | c. 2 | Room use only | 57732QC | |
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Book
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Main Library Reference Section | Reference | R 004.6782 M734o 2024 (Browse shelf(Opens below)) | c. 1 | Room use only | 57731QC |
Browsing Main Library shelves, Shelving location: Reference Section, Collection: Reference Close shelf browser (Hides shelf browser)
| R 004.67 Sh535w 2003 Wireless networking made easy : everything you need to know to build your own PANS, LANS, and WANS | R 004.6782 C647 2021 Cloud computing : theory and applications | R 004.6782 D637c 2020 CompTIA Cloud Essentials+ study guide : Exam CLO-002 | R 004.6782 M734o 2024 Official Google Cloud Certified Professional Machine Learning Engineer study guide | R 004.6782 Su949o 2020 Official Google Professional Cloud Architect : study guide | R 004.68 An567f 2007 Fundamentals of WiMAX : understanding broadband wireless networking | R 004.68 H182n 2003 Networking : a beginner's guide |
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
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