AWS Certified ML Specialty Guide : Navigating the AWS Certified Machine Learning - Specialty exam from novice to expert
Description: Amazon Web Services is the world's most comprehensive and broadly adopted cloud computing platform, providing on-demand access to IT resources, such as computing power, database storage, and other essential services, over the internet with pay-as-you-go pricing. With its vast array...
Spremljeno u:
| Glavni autor: | |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| Online pristup: | Accès Université d'Orléans et IFPM |
| Bilješka: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789365896428.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • AWS Certified ML Specialty Guide, Navigating the AWS Certified Machine Learning - Specialty exam from novice to expert, Arun Arunachalam, New Delhi, BPB Publications, 2025, 1 vol. (503 p.), 978-93-6589-642-8 |
Sadržaj:
- 1. Creating Data Repositories for Machine Learning
- 2. Implementing Data Ingestion Solutions
- 3. Transforming Data into Insights
- 4. Data Sanitization and Preparation
- 5. Feature Engineering
- 6. Data Analysis and Visualization
- 7. Framing Business Problems as ML Problems
- 8. Selecting Appropriate ML Models
- 9. Training ML Models
- 10. Hyperparameter Optimization
- 11. Evaluating ML Models
- 12. Building ML Solutions for Performance and Scalability
- 13. Recommending and Implementing Appropriate ML Services
- 14. Applying AWS Security Practices to ML Solutions
- 15. Deploying and Operationalizing ML Solutions