115,55 €
128,39 €
-10% with code: EXTRA
Distributed Machine Learning Patterns
115,55 € 
- We will send in 10–14 business days.
Practical patterns for scaling machine learning from your laptop to a distributed cluster. Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In Distributed Machine Learning Patterns, you'll learn how to apply established distributed systems patterns to machine…
128.39
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- Author: Yuan Tang
- Publisher: Manning Publications
- ISBN-10: 1617299022
- ISBN-13: 9781617299025
- Format: 18.9 x 23.5 x 0.6 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Practical patterns for scaling machine learning from your laptop to a distributed cluster. Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In Distributed Machine Learning Patterns, you'll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.EXTRA 10 % discount with code: EXTRA
115,55 €
128,39 €
We will send in 10–14 business days.
The promotion ends in 21d.22:39:50
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Yuan Tang
- Publisher: Manning Publications
- ISBN-10: 1617299022
- ISBN-13: 9781617299025
- Format: 18.9 x 23.5 x 0.6 cm, minkšti viršeliai
- Language: English English
Practical patterns for scaling machine learning from your laptop to a distributed cluster. Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In Distributed Machine Learning Patterns, you'll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Reviews