
Sách Distributed Machine Learning Patterns (Sách keo gáy, bìa mềm)
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.
Categories:Computers - Artificial Intelligence (AI)
Year:2023
Edition:1
Language:english
Pages:248