Besplatna dostava putem Box Now paketomata i Overseas kurirske službe iznad 69,99 €.
Pridružite se zajednici ljubitelja knjige iz cijelog svijeta i ostvarite mnoštvo pogodnosti.
Izradite besplatni račun
Besplatna dostava Overseas kurirskom službom iznad 69.99 €
DPD kurir 3.99 €
Pošta 4.99 €
Overseas 4.99 €
Box Now 4.49 €
GLS 4.99 €
DPD točka 3.49 €
GLS paketomat 3.99 €
Kontakt
Kako kupovati
Pomoć
Dostava
DPD kurir 3.99 €
Pošta 4.99 €
Overseas 4.99 €
Box Now 4.49 €
GLS 4.99 €
DPD točka 3.49 €
GLS paketomat 3.99 €
Besplatna dostava Overseas kurirskom službom iznad 69.99 €
Savjetnik za kupnju
Ovdje smo zbog vas!
+385 21 784 0072
Moj račun
▸
Prazno :-(
0
Besplatna dostava putem Box Now paketomata i Overseas kurirske službe iznad 69,99 €.
Jezik
Engleski
Engleski
Knjiga
Meki uvez
Practical patterns for scaling machine learning from your laptop to a distributed cluster. In Di...
Cijeli opis
Libristo kod: 37301710
?
156 b
156 b
64.56
€
50 % šanse
Pretražit ćemo cijeli svijet
Kada ću dobiti knjigu?
30 dana za povrat kupljenih proizvoda
Kupci su kupili i
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.
Glumica
&
Poliglotkinja
EWA KASP
za
Pusti video
Libristo ima najveći izbor literature na stranim jezicima. Zato svoje knjige kupujem ovdje.
Informacije o knjizi
Puni naziv
Distributed Machine Learning Patterns
Jezik
Engleski
Engleski
Uvez
Knjiga - Meki uvez
Datum izdanja
2023
Broj stranica
375
EAN
9781617299025
ISBN
1617299022
Libristo kod
37301710
Nakladnici
Manning Publications
Težina
498
Dimenzije
187 x 235 x 24
Poklonite ovu knjigu još danas
To je jednostavno
1 Dodajte knjigu u košaricu i odaberite isporuku kao poklon 2 Zauzvrat ćemo vam poslati kupon 3 Knjiga dolazi na adresu poklonoprimcaMoglo bi vas zanimati i
/
Meki uvez
67.09
€
/
Meki uvez
33.54
€
/
Tvrdi uvez
53.35
€
/
Tvrdi uvez
30.51
€
