Prediction Model in Azure Notebooks using Python: a Sample Project by Microsoft

As I mentioned in Post, Azure Notebooks is combination of the Jupyter Notebook and Azure. There is a possibility to run your own python, R and F# code on Azure Notebook. In post series, I will share my experience working with Azure Notebook. First, in this post, I will share my first experience of working with Read more about Prediction Model in Azure Notebooks using Python: a Sample Project by Microsoft[…]

Azure Machine Learning Services : Deploy AutoML Model and Use it in Power BI- Part 3

  As I have discussed in part 1 and Part 2, the new possibility of creating machine learning without writing any Python or R codes is so amazing. In Part One, the difference between Azure ML Studio (the traditional one) and the Azure ML Services (new component) has been very briefly explained. (I will write Read more about Azure Machine Learning Services : Deploy AutoML Model and Use it in Power BI- Part 3[…]

Azure Machine Learning Services : Automated Machine Learning -Part 2

In the last post, what is Azure ML Studio and Azure ML Services has been explained briefly. In this post, I will explain how to use Automated machine learning service. Automated machine learning (automated ML) picks an algorithm and hyperparameters for you and generates a model ready for deployment. Automated machine learning helps to identify Read more about Azure Machine Learning Services : Automated Machine Learning -Part 2[…]

Image and Activity Processing Application with Cognitive Service, Power Apps and Microsoft Flow

There are lots of possibilities to embed cognitive services API in application like Power apps with help of Microsoft flow in the last posts, I have shown how to create Face Recognition application or How to create an OCR application to convert image to text. Face Recognition Application with Power Apps, Microsoft Flow and Cognitive Read more about Image and Activity Processing Application with Cognitive Service, Power Apps and Microsoft Flow[…]

Power BI and Azure ML make them work with Power Query

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

  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[…]

Azure data Bricks – Part1

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[…]

Create Custom Visual with R and JSON- Part 4

In the last Post, I have explained some parts of creating Custom visual such as how to create an icon, name of visual, and the how-to allocates fields to a custom visual. There are some other settings that need to be set up beforehand as well. the number of data fields you able to pass to Read more about Create Custom Visual with R and JSON- Part 4[…]

Road Map to use Microsoft ML tools

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[…]

R Chart into SSRS (ggplot2 package in SQL Server 2017)-Part 2

“In the last post, you have seen how we can create a chart by importing data from SQL Server 2017. By doing this, we have a reliable code for drawing chart. Now, we sure our codes work fine, we can put the codes in SQL Server 2017. In this post, I am going to show Read more about R Chart into SSRS (ggplot2 package in SQL Server 2017)-Part 2[…]