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Business in Real Time Using Azure IoT and Cortana Intelligence Suite

Analytics solutions. In addition, Business in Real-Time Using Azure IoT and Cortana Intelligence Suite offers patterns and practices for those;

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Azure IoT Development Cookbook

provide a demo of connecting real device with Azure IoT. Style and approach A set of exciting recipes of using Microsoft Azure IoT more;

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Iot Solutions in Microsoft's Azure Iot Suite

generated and stored is growing at an exponential rate. Understanding and getting real-time insight into these data is critical to business. IoT;

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IoT, AI, and Blockchain for .NET

Know the technologies underpinning Industry 4.0 and AI 2.0 Develop real-time solutions using IoT in Azure Bring the smart capabilities of AI;

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Cloud Analytics with Microsoft Azure

Learn to extract actionable insights from your big data in real time using a range of Microsoft Azure features Key Features Updated;

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Microservices, Iot And Azure

Internet of Things and big data analytics solutions using IoT Hub, Event Hub, and Stream Analytics Techniques for automating microservice;

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Hands-On Machine Learning with Azure

Learn advanced concepts in Azure ML and the Cortana Intelligence Suite architecture Explore ML Server using SQL Server and HDInsight;

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Azure Internet of Things Revealed

Design, build, and justify an optimal Microsoft IoT footprint to meet your project needs. This book describes common Internet of Things;

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Designing Internet of Things Solutions with Microsoft Azure

Build a strong and efficient IoT solution at industrial and enterprise level by mastering industrial IoT using Microsoft Azure. This book;

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Cloud Analytics with Microsoft Azure

analytics using Azure Discover different ways to process and visualize your data easily Learn to use Azure Synapse Analytics (formerly known as;

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Hands-on Azure Cognitive Services

of Anomaly Detector. You will go through Bing Search APIs and learn how to deploy and host services by using containers. And you will learn how to;

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Next Generation Internet of Things - Distributed Intelligence at the Edge and Human-Machine Interactions

designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and;

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Developing Cloud-Native Solutions with Microsoft Azure and .NET

build intelligent applications using Azure AI and IoT services, including Azure Cognitive Services. In the book's final section, you will;

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Predictive Intelligence Using Big Data and the Internet of Things

Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas;

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Introducing Azure Bot Service

of bot development from a business point of view, using Microsoft bot technology, and demonstrates how to connect, deploy, and manage them;

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Introducing Azure Bot Service

of bot development from a business point of view, using Microsoft bot technology, and demonstrates how to connect, deploy, and manage them;

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Hands-On Artificial Intelligence for IoT

Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Process IoT data and predict outcomes;

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Building Apps for the Universal Windows Platform

Cortana-enabled apps for a hands-free experience Build IoT apps and apps for wearables such as the Microsoft HoloLens Monitor apps post;

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Learn Microsoft Azure

working on virtual memory systems (VMS) and deployment models. You will understand various services in the Azure ecosystem, such as Azure IoT and;

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Hands-On Edge Analytics with Azure IoT

Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge;

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Microsoft Enterprise Mobility Suite

decision-making guidance and explanations that provide answers on the whys and hows around modern device management using Microsoft Enterprise;

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Implementing Operations Management Suite

guides to help you implement and configure each feature for yourself. You'll also find out how to estimate your platform costs when using Azure;

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Artificial Intelligence for IoT Cookbook

Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data Key Features Discover;

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Robust Cloud Integration with Azure

applications and create Queues and Topics in Service Bus on Azure using Azure Portal. Towards the end, we'll explore event hubs and IoT hubs, and;

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Hands-on Azure Functions with C#

and blob storage binding are covered. Creating custom binding for Azure Functions and building a serverless API using Azure Functions and;

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Real-Time Strategy and Business Intelligence

This book discusses and conceptualizes practices on real-time strategy, focusing on the interplay between strategy and business;

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Microsoft Azure

machine learning and AI tools in Azure, including Azure Cognitive Services. What You Will Learn Apply design guidance and best practices using;

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