Darmowa dostawa dla zamówień powyżej 299,00 zł.
Zostań członkiem wspólnoty miłośników książek z całego świata i zyskaj mnóstwo korzyści.
Załóż konto bezpłatnie
Darmowa dostawa z usługą Inpost oraz Orlen od 299.00 zł
DPD Kurier 12.99 zł
Poczta Polska 18.99 zł
Paczkomat 13.99 zł
InPost 12.99 zł
Punkt DPD 13.99 zł
Kontakt
Jak kupować
Pomoc
Dostawa
DPD Kurier 12.99 zł
Poczta Polska 18.99 zł
Paczkomat 13.99 zł
InPost 12.99 zł
Punkt DPD 13.99 zł
Darmowa dostawa z usługą Inpost oraz Orlen od 299.00 zł
Doradca ds. zakupów
Jesteśmy tu dla Ciebie!
(32) 444 93 66
Moje konto
▸
Pusty :-(
0
Darmowa dostawa dla zamówień powyżej 299,00 zł.
Język
Angielski
Angielski
Książka
Miękka
Practical patterns for scaling machine learning from your laptop to a distributed cluster. In Di...
Cały opis
Kod Libristo: 37301710
?
156 b
156 b
273.41
zł
50 % szansa
Przeszukamy cały świat
Kiedy dostanę książkę?
30 dni na zwrot towaru
Klienci kupili także
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.
Aktorka
&
Poliglotka
EWA KASP
dla
Odtworzyć wideo
Libristo ma największy wybór literatury obcojęzycznej. Dlatego tutaj kupuję swoje książki.
Informacje o książce
Pełna nazwa
Distributed Machine Learning Patterns
Język
Angielski
Angielski
Oprawa
Książka - Miękka
Data wydania
2023
Liczba stron
375
EAN
9781617299025
ISBN
1617299022
Kod Libristo
37301710
Wydawnictwo
Manning Publications
Waga
498
Wymiary
187 x 235 x 24
Podaruj tę książkę jeszcze dziś
To łatwe
1 Dodaj książkę do koszyka i wybierz „dostarczyć jako prezent” 2 W odpowiedzi wyślemy Ci bon 3 Książka dotrze na adres obdarowanegoMogłoby Cię także zainteresować
/
Miękka
284.43
zł
/
Twarda
226.00
zł
/
Twarda
129.08
zł
