Integrate Power BI into Your Application: Part 2 – Authenticate

In the part 1, you learned how to register an application to be able to interact with Power BI service and Azure environment. In this part, I’m going to explain what is the process involved after that in order to authenticate through your application into Azure Active Directory. This step is important step before doing ...

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Neural Network Concepts Part 1

In this and next one, I will share my understanding on Neural Network and how to write the related R code inside the Power BI. First, in this post I am going to explain what is main concept behind the Neural Network and How it works .The video https://www.youtube.com/watch?v=DG5-UyRBQD4&spfreload=10 helped me  a lot to get better ...

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Integrate Power BI into Your Application: Part 1 – Register your App

Power BI Embedded, which I have written about it previously, brings the power of Power BI into your application. Power BI Embedded Recently had major changes. If you remember from my previous post, there were many limitations in the type of content you can embed into your application and the ways of interacting with it, ...

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Speaking Files in Microsoft Data Insight Summit 2017

Microsoft Data insight Summit 2017 has been held in Seattle from 12 to 13 Jun. It is the main conference for Microsoft Data Analysis with Power BI. All interesting and new topics in Power BI has been presented. Most of the speakers are from Microsoft product team or  experienced speakers in this fields. there are ...

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Azure ML Part 9- Cross Validation: Machine Learning Prediction (6)

In the previous posts (from Part 1 to Part7), I have explained the whole process of doing machine learning inside the Azure ML, from import data, data cleaning, feature selection, training models, testing models, and evaluating. In the last post, I have explained one of the main ways of improving the algorithms performance name as “Tune ...

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Azure ML Part 8- Tune Parameters: Machine Learning Prediction (5)

In the previous posts from Part 1 to 7, I have explained how to do machine learning with Azure ML. I have explained some of the main components in Azure ML that helps us to do data wrangling, train the model, feature selection and evaluating the result. The data cleaning such as SQL transformation, select ...

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