Machine Learning Architecture: Engineering Production Systems Through Iterative Design (The Innovators of AI and Data Series Book 1)

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Machine Learning Architecture: From Development to Production – A Holistic Approach

In today’s landscape, machine learning systems face a dual challenge: they are inherently complex, consisting of multiple interconnected components, and uniquely data-dependent, with data varying dramatically across use cases. This book presents a comprehensive framework for designing and deploying ML systems that don’t just work in theory, but thrive in production.

Through real-world case studies and practical examples, you’ll master:

Data Engineering: Build robust pipelines and select metrics that align with business objectivesProduction Monitoring: Design sophisticated systems that detect and address issues proactivelyPlatform Architecture: Build flexible ML platforms that serve diverse use cases while maintaining reliabilityMLOps Integration: Implement continuous development, evaluation, and deployment processesCore Focus Areas

The iterative design approach helps you tackle:

Moving beyond development accuracy to production stabilityBuilding systems that scale with growing data and user demandsImplementing robust monitoring and maintenance strategiesAdapting to changing business requirements and data distributions

This guide is essential for ML Engineers, Technical Leaders, and Data Scientists seeking to bridge the gap between model development and production deployment. Each chapter combines theoretical foundations with practical implementation, ensuring you can transform theoretical models into production-ready systems.

Transform your ML projects from development success to production excellence. Master the art of building systems that are reliable, scalable, maintainable, and adaptive to real-world challenges.

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ASIN ‏ : ‎ B0DS6Y35F4
Publisher ‏ : ‎ Starforge Publishing
Accessibility ‏ : ‎ Learn more
Publication date ‏ : ‎ January 3, 2025
Edition ‏ : ‎ 1st
Language ‏ : ‎ English
File size ‏ : ‎ 6.2 MB
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 275 pages
Page Flip ‏ : ‎ Enabled
Book 1 of 4 ‏ : ‎ The Innovators of AI and Data Series

Customers say

Customers appreciate the book’s practical insights and best practices in machine learning architecture, with one customer noting how it blends theoretical foundations with practical implementation. The book receives positive feedback for its approach to scalable AI systems.