Doprava zdarma pre objednávky nad 59,99 € s Packetou a SPS Boxmi.
Staňte sa súčasťou komunity milovníkov kníh z celého sveta a získajte hromadu výhod.
Založiť účet zdarma
Doprava zadarmo s Packetou nad 59.99 €
Kuriér DPD 2.99 €
Zberné miesto GLS 2.99 €
SPS 3.99 €
Kuriér GLS 3.49 €
SPS Parcel Shop 2.99 €
Packeta kurýr 3.99 €
Pošta 3.99 €
Zberné miesto DPD 2.99 €
Zberné miesto DPD 0.00 €
Packeta 2.99 €
Kontakt
Ako nakupovať
Pomoc
Doručenie
Kuriér DPD 2.99 €
Zberné miesto GLS 2.99 €
SPS 3.99 €
Kuriér GLS 3.49 €
SPS Parcel Shop 2.99 €
Packeta kurýr 3.99 €
Pošta 3.99 €
Zberné miesto DPD 2.99 €
Zberné miesto DPD 0.00 €
Packeta 2.99 €
Doprava zadarmo s Packetou nad 59.99 €
Nákupný poradca
Sme tu pre Vás!
02/210 210 99
Môj účet
▸
Prázdny :-(
0
Doprava zdarma pre objednávky nad 59,99 € s Packetou a SPS Boxmi.
Jazyk
Angličtina
Angličtina
Kniha
Brožovaná
Practical patterns for scaling machine learning from your laptop to a distributed cluster. In Di...
Celý popis
Libristo kód: 37301710
?
156 b
156 b
64.64
€
50 % šanca
Prehľadáme celý svet
Kedy knihu dostanem?
30 dní na vrátenie tovaru
Zákazníci tiež kúpili
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.
Herečka
&
Polyglotka
EWA KASP
pre
Prehrať video
Libristo má najväčší výber cudzojazyčnej literatúry. Preto si knihy kupujem tu.
Informácie o knihe
Celý názov
Distributed Machine Learning Patterns
Jazyk
Angličtina
Angličtina
Väzba
Kniha - Brožovaná
Dátum vydania
2023
Počet strán
375
EAN
9781617299025
ISBN
1617299022
Libristo kód
37301710
Nakladateľstvo
Manning Publications
Váha
498
Rozmery
187 x 235 x 24
Darujte túto knihu ešte dnes
Je to jednoduché
1 Pridajte knihu do košíka a vyberte možnosť doručiť ako darček 2 Obratom Vám zašleme poukaz 3 Knihu zašleme na adresu obdarovanéhoMohlo by vás tiež zaujímať
/
Brožovaná
74.05
€
/
Brožovaná
31.86
€
/
Pevná
50.98
€
/
Pevná
28.62
€
