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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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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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of supervised, unsupervised, and reinforcement learning techniques using Microsoft machine learning tools and technologies. These strategies will;
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with the latest features and new additions to Microsoft Azure Master the fundamentals of cloud analytics using Azure Learn to use Azure;
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to build, manage, and deploy your services and applications. Cloud Analytics with Microsoft Azure covers all that you need to extract useful;
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Prepare for Microsoft Exam 70-774-and help demonstrate your real-world mastery of performing key data science activities with Azure Machine;
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review the basics of data preparation and engineering, along with Azure ML service and automated machine learning. You'll also explore Azure;
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Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive;
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review the basics of data preparation and engineering, along with Azure ML service and automated machine learning. You'll also explore Azure;
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applications to full-scale enterprise systems. With many pre-built services for everything from data storage to advanced machine learning, Azure offers;
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learning technologies available on Microsoft Azure. What Will You Learn You will understand the: Concepts of data lake analytics;
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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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learning, and artificial intelligences. This book provides the most recent advances in the field along with case studies and real-world examples.;
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0;...
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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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implementation with Microsoft Azure data services, and are beginning to work with data in the cloud About the Exam Exam DP-900 focuses on;
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your expertise with the Microsoft Azure enterprise-grade cloud platform. You can earn this certification by passing Exam 70-532, Developing;
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? of machine learning-machine learning on the cloud-with this unique guide * Create web services that allow you to perform affordable and fast machine;
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Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python;
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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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make an informed decision concerning the workloads appropriate for your growing business in the Azure public cloud. Microsoft Azure starts with;
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make an informed decision concerning the workloads appropriate for your growing business in the Azure public cloud. Microsoft Azure starts with;
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reinforcement learning with TensorFlow. This book will teach you predictive analytics for high-dimensional and sequence data. In particular, you will;
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to solve Industrial business problems Build predictive model with machine learning techniques Create and apply analytical strategies;
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architectures used with edge analytics Understand how to use long-distance communication protocols for edge analytics Deploy Microsoft Azure IoT Edge to;
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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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