Estimados clientes, devido a feriado nacional, o Apoio ao Cliente não está disponível hoje. Atenderemos os seus requisitos no próximo dia útil. Obrigado pela sua compreensão.
Faça parte de uma comunidade de amantes de livros de todo o mundo e tenha acesso a uma série de benefícios.
Crie uma conta gratuitamente
Contacto
Como comprar
Ajuda
Entrega
Correio DHL 7.99 €
Correio DPD 4.49 €
Correio MRW 3.99 €
Ponto DPD 3.99 €
Guia de compras
A minha conta
▸
Vazio :-(
0
Estimados clientes, devido a feriado nacional, o Apoio ao Cliente não está disponível hoje. Atenderemos os seus requisitos no próximo dia útil. Obrigado pela sua compreensão.
Língua
Inglês
Inglês
Livro
Capa mole
Practical patterns for scaling machine learning from your laptop to a distributed cluster. In Di...
Descrição completa
Código Libristo: 37301710
?
142 b
142 b
58.77
€
50% de hipóteses
Procuremos no mundo
Quando vou receber o meu livro?
Política de devolução de 30 dias
Os clientes também compraram
Practical patterns for scaling machine learning from your laptop to a distributed cluster.
In Distributed Machine Learning Patterns you will learn how to:
Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In it, 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.
In Distributed Machine Learning Patterns you will learn how to:
- Apply distributed systems patterns to build scalable and reliable machine learning projects
- Construct machine learning pipelines with data ingestion, distributed training, model serving, and more
- Automate machine learning tasks with Kubernetes, TensorFlow, Kubeflow, and Argo Workflows
- Make trade offs between different patterns and approaches
- Manage and monitor machine learning workloads at scale
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
Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In it, 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.
about the technology
Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations. In this book, Kubeflow co-chair Yuan Tang shares patterns, techniques, and experience gained from years spent building and managing cutting-edge distributed machine learning infrastructure.about the book
Distributed Machine Learning Patterns is filled with practical patterns for running machine learning systems on distributed Kubernetes clusters in the cloud. Each pattern is designed to help solve common challenges faced when building distributed machine learning systems, including supporting distributed model training, handling unexpected failures, and dynamic model serving traffic. Real-world scenarios provide clear examples of how to apply each pattern, alongside the potential trade offs for each approach. Once you''ve mastered these cutting edge techniques, you''ll put them all into practice and finish up by building a comprehensive distributed machine learning system.
Atriz
&
Poliglota
EWA KASP
para
Reproduzir vídeo
A Libristo tem a maior seleção de literatura estrangeira. É por isso que compro os meus livros aqui.
Sobre o livro
Nome completo
Distributed Machine Learning Patterns
Língua
Inglês
Inglês
Encadernação
Livro - Capa mole
Data de emissão
2023
Número de páginas
375
EAN
9781617299025
ISBN
1617299022
Código Libristo
37301710
Editoras
Manning Publications
Peso
498
Dimensões
187 x 235 x 24
Ofereça este livro hoje
É fácil
1 Adicione ao carrinho e escolha Entregar como presente ao finalizar a compra 2 Receberá um vale 3 O livro chegará ao endereço do destinatárioTambém pode estar interessado em
/
Capa mole
54.63
€
/
Livro de capa dura
155.40
€
/
Capa mole
28.62
€
/
Livro de capa dura
46.33
€
/
Livro de capa dura
24.78
€
