Machine learning system design : with end-to-end examples /
"Designing and delivering a machine learning system is an intricate multistep process that requires many skills and roles. Whether you're an engineer adding machine learning to an existing application or designing a ML system from the ground up, you need to navigate massive datasets and st...
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Shelter Island, NY :
Manning,
©2025
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| Subjects: | |
| Related Items: | Online version:
Machine learning system design. |
| Classic Catalogue: | View this record in Classic Catalogue |
Table of Contents:
- Part 1. Preparations. Essentials of machine learning system design
- Is there a problem?
- Preliminary research
- Design document
- Part 2. Early stage. Loss functions and metrics
- Gathering datasets
- Validation schemas
- Baseline solution
- Part 3. Intermediate steps. Error analysis
- Training pipelines
- Features and feature engineering
- Measuring and reporting results
- Part 4. Integration and growth. Integration
- Monitoring and reliability
- Serving and inference optimization
- Ownership and maintenance.