Image Processing- Invoice recording using Power App, Microsoft Flow and Cognitive Service- Part 3

  In the last two posts (Post1 and Post2), the process of how to set up a simple Power Apps for the aim of converting the image to text has been explained. The created Power Apps capture a picture from a receipt or any text.  Also, how to create a flow that received the image ...

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OVERVIEW ON MICROSOFT MACHINE LEARNING TOOLS

Microsoft Machine Learning Technologies Overview Artificial intelligence and specifically Machine learning can bring lots of benefit to the business owner. Many businesses using Microsoft data platform tools for many years. Microsoft employed machine learning in creating their products such as Xbox, Bing Search and so forth for a while. However, from 2014 they start to ...

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Image Processing- Invoice recording using Power App, Microsoft Flow and Cognitive Service- Part 2

In this post, I am going to show how to connect the Power APP, that you created in Part One for the aim of taking a photo from your receipt, send it to the Microsoft Flow and cognitive service to convert the image to text. First, you need to follow the link for the creating ...

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Analytics in HDInsight

  Azure HDInsight is an open-source analytics and cloud base service. Azure HDInsight is easy, fast, and cost-effective for processing the massive amounts of data. There are many different use case scenarios for HDInsight such as extract, transform, and load (ETL), data warehousing, machine learning, IoT and so forth. The main benefit of using HDInsight ...

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Data Science Virtual Machine

  Data Science Virtual Machine (DSVM) is a virtual machine on the Azure cloud that is customized for doing data science. DSVM has some pre-configured and pre-install tools that help users to build the AI applications. DSVM will assist data science team to access a consistent setup. In this post, a brief introduction to DSVM ...

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Cognitive Services in Power BI

Microsoft Cognitive services are collections of API and services that help developers to create more smart applications and reports.  By using Cognitive services, developers able to add intelligence features such as face recognition, emotion recognition, text analytics and so forth into their applications. Cognitive Services Overview There are different cognitive services available that you can ...

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Live Machine Learning in Azure Stream Analytics-part 2

In last Post, I have explained the process of creating Event Hub, Stream Analytics, and Azure ML model for the aim of applying machine learning to streamed Data. In this post, I will show how to create a function in Stream Analytics for calling the Azure ML API and finally see the result in the ...

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Live Machine Learning in Azure Stream Analytics-part 1

Azure Stream Analytics is an event-processing engine that allows users to analyze high volumes of data streaming from devices, sensors, and applications. Azure Stream Analytics can be used for Internet of Things (IoT) real-time analytics, remote monitoring and data inventory controls. However, Azure Stream Analytics is another component in Azure, that we were able to ...

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Azure data Bricks – Part2

In the last post, I have explained how to work with Azure Databricks. In this post, I will show: 1- Upload data in Azure data Lake Store 2- get data from Azure Data Lake Store into Azure Data Bricks 3-clean Data with Scala language 4- visualizes with R language 5- Predictive Analysis with R In ...

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