What You'll Gain
- How to take models from notebooks to production reliably
- Monitoring concepts: drift, performance, data quality, and alerts
- Deployment habits: versioning, reproducibility, CI/CD, and rollback
Why Choose This Book
MLOps is where many teams struggle. This book focuses on practical steps and checklists that reduce production incidents and improve reliability.
Who Should Read This Book
ML engineers, data scientists, and platform teams deploying models into real products and operations.
Outcome
Operate ML systems with confidence using clear workflows and production engineering discipline.
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Publication name
Alkademy Press
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Published Date
13 Dec, 2025
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Language
English
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Rating
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Category
Cloud & MLOps
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Dr. Kay
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0
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57 Ebook
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