Book description
NoneTable of contents
- Preface
- I. Find the Correct ML Approach
- 1. From Product Goal to ML Framing
- 2. Create a Plan
- II. Build a Working Pipeline
- 3. Build Your First End-to-End Pipeline
- 4. Acquire an Initial Dataset
- III. Iterate on Models
- 5. Train and Evaluate Your Model
- 6. Debug Your ML Problems
- 7. Using Classifiers for Writing Recommendations
- IV. Deploy and Monitor
- 8. Considerations When Deploying Models
- 9. Choose Your Deployment Option
- 10. Build Safeguards for Models
- 11. Monitor and Update Models
- Index
Product information
- Title: Building Machine Learning Powered Applications
- Author(s):
- Release date:
- Publisher(s):
- ISBN: None
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