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Machine Learning System Design : With End-To-end Examples.
- Format:
- Book
- Author/Creator:
- Babuskhin, Valerii.
- Language:
- English
- Subjects (All):
- Machine learning.
- Physical Description:
- 1 online resource (358 pages)
- Edition:
- 1st ed.
- Place of Publication:
- New York : Manning Publications Co. LLC, 2025.
- Summary:
- Machine Learning System Design shows you how to design and deploy a machine learning project from start to finish. You’ll follow a step-by-step framework for designing, implementing, releasing, and maintaining ML systems. As you go, requirement checklists and real-world examples help you prepare to deliver and optimize your own ML systems. You’ll especially love the campfire stories and personal tips, and ML system design interview tips.
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9781638357285
- 1638357285
- OCLC:
- 1498526194
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