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Distributed Machine Learning Patterns
This repository accompanies a book about patterns for distributed machine learning.
About Distributed Machine Learning Patterns
This GitHub repository accompanies the Manning Publications book Distributed Machine Learning Patterns by Yuan Tang, providing supplementary references and code for the text. The book teaches practitioners how to build scalable, reliable distributed machine learning systems, covering pipeline construction, workload automation, and monitoring using tools including TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. It is intended for data analysts, data scientists, and software engineers with foundational experience in machine learning, Python, Bash, and Docker.
Key features
- Accompanies the Manning Distributed Machine Learning Patterns book
- Includes code examples for distributed ML system development
- Covers scalable ML pipeline construction and workload management
- References use of TensorFlow, Kubernetes, Kubeflow, and Argo Workflows
- Provides patterns for distributed model training and serving
- Includes real-world scenarios for common distributed ML challenges
Best for: Data analysts, data scientists, and software engineers with foundational experience in machine learning, Python, Bash, and Docker benefit most from this resource.
Good for
- Written by a key maintainer of open source projects including Argo, Kubeflow, and Kubernetes
- Incorporates real-world scenarios and hands-on projects for practical learning
- Discusses explicit trade-offs for different distributed ML pattern approaches
Watch out for
- Requires prior familiarity with basic ML, production ML, Bash, Python, and Docker
- Focuses exclusively on cloud-native Kubernetes-based distributed ML systems
- The repository only provides supplementary references and code for the companion book
Distributed Machine Learning Patterns at a glance
- Category
- Books & Reading › Reading Resources
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Distributed Machine Learning Patterns FAQ
What is the purpose of this repository?
It contains references and code accompanying the Manning Publications book Distributed Machine Learning Patterns.
What technologies does the book cover for building distributed ML systems?
The book covers TensorFlow, Kubernetes, Kubeflow, and Argo Workflows.
Who is the intended audience for the book?
Data analysts, data scientists, and software engineers with basic ML, Bash, Python, and Docker knowledge.
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