Distributed Machine Learning Patterns

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Beschreibung

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.
Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations.

Über den Autor

Yuan Tang is currently a founding engineer at Akuity. Previously he was a senior software engineer at Alibaba Group, building AI infrastructure and AutoML platforms on Kubernetes. Yuan is co-chair of Kubeflow, maintainer of Argo, TensorFlow, XGBoost, and Apache MXNet. He is the co-author of TensorFlow in Practice and author of the TensorFlow implementation of Dive into Deep Learning.

Inhaltsverzeichnis

table of contents

PART 1: BASIC CONCEPTS AND BACKGROUND

READ IN LIVEBOOK1INTRODUCTION TO DISTRIBUTED MACHINE LEARNING SYSTEMS

PART 2: PATTERNS OF DISTRIBUTED MACHINE LEARNING SYSTEMS

READ IN LIVEBOOK2DATA INGESTION PATTERNS

READ IN LIVEBOOK3DISTRIBUTED TRAINING PATTERNS

READ IN LIVEBOOK4MODEL SERVING PATTERNS

READ IN LIVEBOOK5WORKFLOW PATTERNS

READ IN LIVEBOOK6OPERATION PATTERNS

PART 3: BUILDING A DISTRIBUTED MACHINE LEARNING PIPELINE

7 OVERVIEW OF PROJECT ARCHITECTURE

8 OVERVIEW OF RELEVANT TECHNOLOGIES

9 A COMPLETE IMPLEMENTATION

Details

Erscheinungsjahr:	2024
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Seiten:	375
Inhalt:	Kartoniert / Broschiert
ISBN-13:	9781617299025
ISBN-10:	1617299022
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Tang, Yuan
Hersteller:	Manning Publications
Maße:	187 x 235 x 17 mm
Von/Mit:	Yuan Tang
Erscheinungsdatum:	17.01.2024
Gewicht:	0,498 kg

preigu-id: 120734786