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Mastering Azure Machine Learning - Second Edition: Execute large-scale end-to-end machine learning with Azure
Seller: Wonder Book, Frederick, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Very Good condition. 2nd edition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.
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Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Mastering Azure Machine Learning - Second Edition: Execute large-scale end-to-end machine learning with Azure (Paperback or Softback)
Published by Packt Publishing 5/10/2022, 2022
ISBN 10: 1803232412 ISBN 13: 9781803232416
Language: English
Paperback or Softback. Condition: New. Mastering Azure Machine Learning - Second Edition: Execute large-scale end-to-end machine learning with Azure 2.33. Book.
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Mastering Azure Machine Learning: Execute large-scale end-to-end machine learning with Azure, 2nd Edition
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 54.70
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Mastering Azure Machine Learning - Second Edition: Execute large-scale end-to-end machine learning with Azure
Published by Packt Publishing 2022-05, 2022
ISBN 10: 1803232412 ISBN 13: 9781803232416
Language: English
US$ 50.94
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Mastering Azure Machine Learning - Second Edition: Execute large-scale end-to-end machine learning with Azure
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 54.37
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Mastering Azure Machine Learning
Published by Packt Publishing Limited, GB, 2022
ISBN 10: 1803232412 ISBN 13: 9781803232416
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 77.51
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Add to basketPaperback. Condition: 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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Mastering Azure Machine Learning - Second Edition: Execute large-scale end-to-end machine learning with Azure
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 58.74
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Paperback. Condition: new. Paperback. "Mastering Azure Machine Learning: From Fundamentals to Deployment" is designed to bridge the gap between foundational ML concepts and the complexities of deploying production-ready systems. While Azure ML's intuitive interface and robust APIs simplify many tasks, mastery of the platform requires an understanding of the underlying concepts, tools, and workflows. This book equips you with the skills and knowledge to navigate every stage of the machine learning lifecycle using Azure ML-from data preparation and model development to deployment, monitoring, and scaling.This book caters to a broad audience: Beginners: Individuals new to machine learning who want a structured guide to mastering Azure ML's features while understanding fundamental ML concepts.Intermediate Practitioners: Those with some experience in ML who wish to deepen their knowledge of Azure ML's advanced capabilities, such as AutoML, distributed training, and pipeline orchestration.Professionals: Industry experts seeking insights into implementing scalable and efficient ML solutions in real-world scenarios.Regardless of your starting point, this book emphasizes practical examples, clear explanations, and actionable insights to accelerate your Azure ML journey.What You Will LearnThe book's modular structure ensures a comprehensive learning experience: Foundations: Introduction to Azure ML, its architecture, and core capabilities.Model Development: Hands-on guidance for building and training models, including data preprocessing, experimentation, and hyperparameter tuning.AutoML and Responsible AI: Insights into automation, interpretability, and fairness to ensure ethical and impactful solutions.Advanced Techniques: Distributed training, embedding models, and working with large language models.Deployment: Real-world approaches to deploying, monitoring, and scaling ML systems on Azure.Case Studies and Best Practices: Success stories across industries and actionable best practices for leveraging Azure ML effectively. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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US$ 63.26
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US$ 88.90
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Add to basketpaperback. Condition: New. New. book.
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Mastering Azure Machine Learning
Published by Packt Publishing Limited, GB, 2022
ISBN 10: 1803232412 ISBN 13: 9781803232416
Language: English
US$ 73.25
Convert currencyUS$ 87.66 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: 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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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.85.
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Mastering Azure Machine Learning: From Fundamental to Deployment
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Mastering Azure Machine Learning (Paperback or Softback)
Published by Packt Publishing 4/30/2020, 2020
ISBN 10: 1789807557 ISBN 13: 9781789807554
Language: English
Paperback or Softback. Condition: New. Mastering Azure Machine Learning 1.49. Book.
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Condition: New.
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Mastering Azure Machine Learning
Published by Packt Publishing Limited, 2022
ISBN 10: 1803232412 ISBN 13: 9781803232416
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 55.51
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Add to basketPAP. Condition: 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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Mastering Azure Machine Learning
Published by Packt Publishing, Limited, 2022
ISBN 10: 1803232412 ISBN 13: 9781803232416
Language: English
US$ 50.20
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Mastering Azure Machine Learning
Published by Packt Publishing Limited, 2022
ISBN 10: 1803232412 ISBN 13: 9781803232416
Language: English
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Mastering Azure Machine Learning -: Execute large-scale end-to-end machine learning with Azure
Published by Packt Publishing Limited, 2022
ISBN 10: 1803232412 ISBN 13: 9781803232416
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 56.91
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.
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Add to basketTaschenbuch. Condition: Neu. Neuware - 'Mastering Azure Machine Learning: From Fundamentals to Deployment' is designed to bridge the gap between foundational ML concepts and the complexities of deploying production-ready systems. While Azure ML's intuitive interface and robust APIs simplify many tasks, mastery of the platform requires an understanding of the underlying concepts, tools, and workflows. This book equips you with the skills and knowledge to navigate every stage of the machine learning lifecycle using Azure ML-from data preparation and model development to deployment, monitoring, and scaling.This book caters to a broad audience:
