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programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure. You'll;
Vergelijkbare producten zoals Building Intelligent Cloud Applications Develop Scalable Models Using Serverless Architectures with Azure
Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision;
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learning models efficiently on Spark using Azure Databricks Deploy machine learning models for batch and real-time scoring with Azure Kubernetes;
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Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you'll learn how to;
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science and discusses the statistical techniques data scientists should know. You'll then move on to machine learning in Azure where you will;
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ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML;
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the options for training and operationalizing deep learning models on Azure Be familiar with advanced concepts in Azure ML and the;
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and discusses the statistical techniques data scientists should know. You'll then move on to machine learning in Azure where you will;
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science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft;
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distributed training and deployment of machine learning and deep learning models Learn how ETLs are integrated with Azure Data Factory and Delta Lake;
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Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses;
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Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses;
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considerations * Describe fundamental principles of machine learning on Azure * Describe features of computer vision workloads on Azure;
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* Azure AI and machine learning Audience Readers should be comfortable with a modern operating system like Windows or Linux and the;
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Get valuable tips and techniques for automating your cloud deployments with Azure PowerShell cmdlets, and learn how to provision Azure;
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0;...
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, artificial intelligence, and machine learning services. Moving on, you will cover the planning for and adoption of Azure where you will go through;
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, artificial intelligence, and machine learning services. Moving on, you will cover the planning for and adoption of Azure where you will go through;
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Get to grips with automated machine learning and adopt a hands-on approach to AutoML implementation and associated methodologies Key;
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, Blockchain as a Service (BaaS), and Machine Learning Studio. As you work through the book, you'll get hands-on experience building an example;
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on the cloud with machine learning and deep learning concepts. By the end of this book, you will be proficient in analyzing large amounts;
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data. As you advance, you'll learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts. By;
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studies A concise and practical guide for learning cloud administration on Azure Book DescriptionAzure continues to dominate the public cloud;
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components and architecture and then focuses on Microsoft's Azure components relevant in deploying these solutions. Microsoft-specific topics;
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introduction to Azure Repos, focusing on TFVC and Git, and then gradually transition to hands on lessons of working with TVFC. Next, you'll see how to;
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is everywhere, ETL will always be the vital process to handle data from different sources. Hands-On Data Warehousing with Azure Data Factory starts with;
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machine learning pipeline, and managing your data inventory. Examples are illustrated with Azure. The patterns and techniques are transferable to;
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