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[…]
Databricks is an analytics service based on the Apache Spark open source project. Databricks has been used for ingesting a significant amount of data. In February 2018, there is integration between Azure and Databricks. This integration provides data science and data engineer team with a fast, easy and collaborative spark-based platform in Azure [1]. Azure Read more about Azure data Bricks – Part1[…]
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 explained, how to use AzureML package with the aim of exploration of Azure ML studio experiments and datasets inside R studio environment. moreover how we can use this package to upload a dataset from R studio into Azure ML has been shown. In this post, I am going to Read more about Azure ML Package-Publish a Web service from R-Part2[…]
There is a possibility to run R codes and Python in Azure ML. In this short post, I am going to show you how we can run an R codes to show some charts in Azure ML with ggplot2 package. I have a dataset about the dairy product in the USA. this dataset holds Read more about Run R codes in Azure ML[…]
Azure ML Package is another Microsoft related package that allows you to upload and download datasets to and from AzureML, to interrogate experiments, to publish R functions as AzureML web services, and to run R data through existing web services and retrieve the output. Azure ML in R studio The first step- Installation First, you need Read more about Azure ML Package-Part1[…]
RevoScaleR Package RevoScaleR is packages created by Revolution Analytics (own by Microsoft) with the aim of importing, transforming, and analyzing data at scale. There are different categories of functions for the data store, imports and save as, data transformation, draw some charts such as histogram, line and so forth, descriptive analysis, predictive analysis, package Read more about Microsoft SQl Server ML Services: RevoScaleR Package[…]
Business Understanding Business understanding is the main and first step for doing machine learning in any platform or languages. Not all business problem can be addressed by machine learning approaches. There are some proposed categories for machine learning such as “Supervised Learning” and “Un-Supervised Learning”. Supervised Learning is about when we identify both input and Read more about Business Understanding for Machine Learning – Descriptive Analysis[…]