Yuan Tang
Distributed Machine Learning Patterns
Distributed Machine Learning Patterns
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- More about Distributed Machine Learning Patterns
Distributed Machine Learning Patterns is a book that provides practical patterns for scaling machine learning from laptops to distributed clusters. It covers topics such as data ingestion, distributed training, model serving, and automation using Kubernetes, TensorFlow, Kubeflow, and Argo Workflows. The book is based on real-world scenarios and hands-on projects and offers DevOps techniques for launching, managing, and monitoring cloud-native distributed machine learning pipelines.
Format: Paperback / softback
Length: 375 pages
Publication date: 17 January 2024
Publisher: Manning Publications
Using examples based in TensorFlow,Kubernetes,Kubeflow,and Argo Workflows,you ll learn how to apply patterns in a practical way. Real-world scenarios,hands-on projects,and clear,practical DevOps techniques let you easily launch,manage,and monitor cloud-native distributed machine learning pipelines.
Weight: 490g
Dimension: 236 x 190 x 2 (mm)
ISBN-13: 9781617299025
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