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Mastering MLOps Architecture
By Raman Jhajj
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Description
¿MLOps, a combination of DevOps, data engineering, and machine learning, is crucial for delivering high-quality machine learning results due to the dynamic nature of machine learning data. This book delves into MLOps, covering its core concepts, components, and architecture, demonstrating how MLOps fosters robust and continuously improving machine learning systems.
By covering the end-to-end machine learning pipeline from data to deployment, the book helps readers implement MLOps workflows. It discusses techniques like feature engineering, model development, A/B testing, and canary deployments. The book equips readers with knowledge of MLOps tools and infrastructure for tasks like model tracking, model governance, metadata management, and pipeline orchestration. Monitoring and maintenance processes to detect model degradation are covered in depth. Readers can gain skills to build efficient CI/CD pipelines, deploy models faster, and make their ML systems more reliable, robust and production-ready.
Overall, the book is an indispensable guide to MLOps and its applications for delivering business value through continuous machine learning and AI.
WHAT YOU WILL LEARN¿ Architect robust MLOps infrastructure with components like feature stores.¿ Leverage MLOps tools like model registries, metadata stores, pipelines.¿ Build CI/CD workflows to deploy models faster and continually.¿ Monitor and maintain models in production to detect degradation.¿ Create automated workflows for retraining and updating models in production.
WHO THIS BOOK IS FORMachine learning specialists, data scientists, DevOps professionals, software development teams, and all those who want to adopt the DevOps approach in their agile machine learning experiments and applications. Prior knowledge of machine learning and Python programming is desired.
Product details
Binding:
Paperback
Number of Pages:
226
Release Date:
2023-12-12
Publication Date:
2023-12-12
Publisher:
BPB Publications
Languages:
Original:
English
ISBN10:
9355519494
ISBN13:
9789355519498
GPSR Manufacturer Reference:
Minimum Reading Age:
18
Maximum Reading Age:
18
Weight:
431 g
Height:
191 cm
Width:
235 cm
Thickness:
12 cm
Condition
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The items bear minimal signs of past use, such as light scratches or memories in the form of markings. These signs of wear give the items a charming character and tell stories of their previous owners, while not affecting their functionality.
€23,99