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solutions * Understand how to migrate from your current datastore to DocumentDB In Detail Learning DocumentDB adopts a practical, step-by;
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Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using;
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). Several Azure PaaS services are detailed including Storage, SQL Database, DocumentDb, Redis Cache, Cloud Services, Web API's, API Management;
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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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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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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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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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programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure. You'll;
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Prepare for Microsoft Exam AI-900 and help demonstrate your real-world knowledge of diverse machine learning (ML) and artificial;
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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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, 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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Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data;
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0;...
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for Bot Services, Cognitive Services, and Machine Learning. You will be shown how to build an application to analyze images and videos, and;
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by introducing you to the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and;
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Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies Key Features;
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Azure Machine Learning, analytics, and Cognitive Services; roles for Microsoft solution accelerators and managed solutions; and integration;
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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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