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In den Warenkorbpaperback. Zustand: Gut. 436 Seiten; 9781789807554.3 Gewicht in Gramm: 1.
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In den WarenkorbZustand: New. This book will help you learn how to build a scalable end-to-end machine learning pipeline in Azure from experimentation and training to optimization and deployment. By the end of this book, you will learn to build complex distributed systems and scalable c.
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In den WarenkorbZustand: New.
Verlag: Packt Publishing Limited, GB, 2022
ISBN 10: 1803232412 ISBN 13: 9781803232416
Sprache: Englisch
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 62,57
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In den WarenkorbPaperback. Zustand: New. Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning servicesKey FeaturesImplement end-to-end machine learning pipelines on AzureTrain deep learning models using Azure compute infrastructureDeploy machine learning models using MLOpsBook DescriptionAzure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps. The first section shows you how to set up an Azure Machine Learning workspace; ingest and version datasets; as well as preprocess, label, and enrich these datasets for training. In the next two sections, you'll discover how to enrich and train ML models for embedding, classification, and regression. You'll explore advanced NLP techniques, traditional ML models such as boosted trees, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques - all using Azure Machine Learning. The last section will teach you how to deploy the trained models as a batch pipeline or real-time scoring service using Docker, Azure Machine Learning clusters, Azure Kubernetes Services, and alternative deployment targets. By the end of this book, you'll be able to combine all the steps you've learned by building an MLOps pipeline.What you will learnUnderstand the end-to-end ML pipelineGet to grips with the Azure Machine Learning workspaceIngest, analyze, and preprocess datasets for ML using the Azure cloudTrain traditional and modern ML techniques efficiently using Azure MLDeploy ML models for batch and real-time scoringUnderstand model interoperability with ONNXDeploy ML models to FPGAs and Azure IoT EdgeBuild an automated MLOps pipeline using Azure DevOpsWho this book is forThis book is for machine learning engineers, data scientists, and machine learning developers who want to use the Microsoft Azure cloud to manage their datasets and machine learning experiments and build an enterprise-grade ML architecture using MLOps. This book will also help anyone interested in machine learning to explore important steps of the ML process and use Azure Machine Learning to support them, along with building powerful ML cloud applications. A basic understanding of Python and knowledge of machine learning are recommended.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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EUR 4,02
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In den WarenkorbZustand: Good. Signs of wear and consistent use.
Verlag: Packt Publishing Limited, GB, 2022
ISBN 10: 1803232412 ISBN 13: 9781803232416
Sprache: Englisch
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 67,58
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In den WarenkorbPaperback. Zustand: New. Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning servicesKey FeaturesImplement end-to-end machine learning pipelines on AzureTrain deep learning models using Azure compute infrastructureDeploy machine learning models using MLOpsBook DescriptionAzure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps. The first section shows you how to set up an Azure Machine Learning workspace; ingest and version datasets; as well as preprocess, label, and enrich these datasets for training. In the next two sections, you'll discover how to enrich and train ML models for embedding, classification, and regression. You'll explore advanced NLP techniques, traditional ML models such as boosted trees, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques - all using Azure Machine Learning. The last section will teach you how to deploy the trained models as a batch pipeline or real-time scoring service using Docker, Azure Machine Learning clusters, Azure Kubernetes Services, and alternative deployment targets. By the end of this book, you'll be able to combine all the steps you've learned by building an MLOps pipeline.What you will learnUnderstand the end-to-end ML pipelineGet to grips with the Azure Machine Learning workspaceIngest, analyze, and preprocess datasets for ML using the Azure cloudTrain traditional and modern ML techniques efficiently using Azure MLDeploy ML models for batch and real-time scoringUnderstand model interoperability with ONNXDeploy ML models to FPGAs and Azure IoT EdgeBuild an automated MLOps pipeline using Azure DevOpsWho this book is forThis book is for machine learning engineers, data scientists, and machine learning developers who want to use the Microsoft Azure cloud to manage their datasets and machine learning experiments and build an enterprise-grade ML architecture using MLOps. This book will also help anyone interested in machine learning to explore important steps of the ML process and use Azure Machine Learning to support them, along with building powerful ML cloud applications. A basic understanding of Python and knowledge of machine learning are recommended.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 53,65
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbZustand: New.
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In den WarenkorbZustand: New.
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In den WarenkorbPaperback. Zustand: New. New. book.
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In den WarenkorbZustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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In den WarenkorbPAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.
Verlag: Packt Publishing, Limited, 2022
ISBN 10: 1803232412 ISBN 13: 9781803232416
Sprache: Englisch
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: New. Print on Demand pp. 577.
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.