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 Read more about OVERVIEW ON MICROSOFT MACHINE LEARNING TOOLS[…]
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 Read more about Image Processing- Invoice recording using Power App, Microsoft Flow and Cognitive Service- Part 2[…]
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 Read more about Analytics in HDInsight[…]
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 Read more about Data Science Virtual Machine[…]
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 Read more about Cognitive Services in Power BI[…]
In the last post, I have shown how to create a simple Bot. In this post, I am going to show how to create a Question and Answer Bot and embed it in a website. To start you need to create a Web App Bot in Microsoft Azure with Bot Template as Question and Answer. After creating the Read more about Microsoft Bot -Part2: Create a Question and Answer[…]
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 Read more about Live Machine Learning in Azure Stream Analytics-part 2[…]
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 Read more about Live Machine Learning in Azure Stream Analytics-part 1[…]
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 Read more about Azure data Bricks – Part2[…]
Azure Data Lake store is one of the components in Microsoft cloud, that helps the developers, data scientists and analyst to store any data size, shape, and speed. Azure Data Lake is optimized for processing large amounts of data; it provides parallel processing with optimum performance. In Azure data lake we can create hierarchy data Read more about R In Azure Data Lake- Part1- Sample Data[…]