In previous posts, I have explained how to create a machine learning scenario using Azure ML components. One of the main advantages of using Azure ML is the ability to create a web service from it. That means the created model can be used in other services via an API URL and Password. In this post, I will show Read more about Azure ML Part 10, Create Web service from Models[…]
These days, Dataflow (Power Query in Power BI Service) is a new feature that has been released. according to[1]: Dataflow is a Power Query process that runs in the cloud independently from any Power BI reports. If you want to know more about dataflow see [1] There is a new feature in dataflow that Read more about AI in Dataflow, Power BI webservice, Cognitive Service -Part1[…]
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 blog post, I am going to show how to use the Azure ML web service in Power BI (Power Query). First Step: You need to create a model in Azure ML Studio and create a web service for it. The traditional example in Predict a passenger on Titanic ship is going to survived Read more about Power BI and Azure ML make them work with Power Query[…]
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[…]
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 this post, I am going to show you how we can create most comprehensive Custom visual. In the last two posts published in July 2017 (post1 and Post 2). Some notes before I am going to complete the last two posts. 1- We able to declare some custom input like X, Y, Legen and Read more about Create Custom Visual with R and JSON- Part3[…]
I normally work with most of the Microsoft tools for the aim of doing machine learning. I came up with a roadmap that shows what option for machine learning we have with Microsoft tools in Data Platform. this roadmap is not completed yet, I need to update it one later with some tools such azure Read more about Road Map to use Microsoft ML tools[…]
In the last post, I have shown how you able to install an external package like ggplot2 in ML services and also you see how we can use data in SQL Server to create a chart in R studio. In this post, I am going to show you how to create a chart in SQL Read more about R Chart into SSRS (Show Chart in SSRS)-Part 3[…]