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Marcel Alsdorf Christoph Ko Mastering Azure Machine Lear (Paperback) (UK IMPORT)

Description: Further DetailsTitle: Mastering Azure Machine LearningCondition: NewSubtitle: Execute large-scale end-to-end machine learning with AzureEAN: 9781803232416ISBN: 9781803232416Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 05/27/2022Description: 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 Description Azure 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 for This 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.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Marcel Alsdorf, Christoph KornerGenre: Computing & InternetRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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Marcel Alsdorf Christoph Ko Mastering Azure Machine Lear (Paperback) (UK IMPORT)

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Book Title: Mastering Azure Machine Learning

Title: Mastering Azure Machine Learning

Subtitle: Execute large-scale end-to-end machine learning with Azure

EAN: 9781803232416

ISBN: 9781803232416

Release Date: 05/27/2022

Release Year: 2022

Country/Region of Manufacture: GB

Item Height: 93mm

Item Length: 75mm

Genre: Computing & Internet

Publisher: Packt Publishing, The Limited

Subject: Data Modeling & Design, Computer Science, General, Computer Vision & Pattern Recognition

Publication Year: 2022

Number of Pages: 624 Pages

Language: English

Publication Name: Mastering Azure Machine Learning : Execute Large-Scale End-To-End Machine Learning with Azure

Type: Textbook

Author: Christoph Korner, Marcel Alsdorf

Subject Area: Computers, Science

Format: Trade Paperback

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