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 Lagro Branch shelves, Shelving location: Reference Section, Collection: Reference Close shelf browser (Hides shelf browser)
| R 004.65 C734 2004 Communication networking : an analytical approach | R 004.67 H439b 2000 Basic Internet for schools : teacher's book & photocopiable worksheets | R 004.6782 C647 2021 Cloud computing : theory and applications | R 004.6782 M734o 2024 Official Google Cloud Certified Professional Machine Learning Engineer study guide | R 005.2 W187t 2008 Tcl/Tk programming for the absolute beginner | R 005.376 W364 2020 Web-based applications | R 005.5 B688g 2008 Google apps : administrator 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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