Working With Azure ML workspace can be more flexible with Azure ML SDK. In this section, we are going to see how to set a workspace via AzureML SDK inside Notebook. In summary how to access the config file for the Azure ML workspace will be shown, and how to set a new workspace with Read more about How to set Workspace inside Azure ML SDK

The new Azure ML environment contains an Azure Notebook that you can write Python code in. In this post, I will go through the experiment and see how we can use this environment for the aim of regression analysis. First, you need to set up the environment inside the Azure portal as below, click on Read more about Azure ML Notebooks

There are always many questions about a cheat sheet that shows the existing capabilities for doing AI and ML in Power BI service and Desktop. In the above chart, I have summarized the capability of doing AI and ML in Power BI Service and Desktop for each role. I have identified three main roles in Read more about Overview of Available AI and ML capabilities in Power BI

Azure ML services have been introduced for a while; however, in the last Microsoft Build, the visual interface of Azure ML service has been introduced that has a lot of similarity to Azure ML Studio. However, there are some differences between them as the created experiment in the visual interface is shown in the Assets section as Read more about New component of Azure ML Service – Visual Interface

As I mentioned in the post, Azure Notebooks is a combination of the Jupyter Notebook and Azure. There is a possibility to run your own Python, R, and F# code on Azure Notebook. In this 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

In the last posts, I have explained how we can set up the AI Builder for Power Apps and Microsoft Flow. Also how we can do classification in Power Apps has been explained. Now in this post, I am planning to show how to create an Object detection app using AI Builder in Read more about Object Detection Application with AI Builder and Power Apps

As I mentioned in Post 1 and Post 2, AI Builder is a game-changer in Power Apps and Flow; it provides the facility to easily embed AI in applications and processes without writing any code. Also, there is no need to set up other environments and applications to make it work. In this post, I Read more about Activate AI Builder In Power Apps and Microsoft Flow

Azure ML Services has a new component that has been announced a couple of months ago, named Automated Machine Learning. I have already started to write about Azure ML Services and Automated ML specifically recently (which will continue 🙂). In Posts one to 4 you can find all discussions (Post 1, Post 2, Post Read more about Azure Automated Machine Learning- Part 5

As mentioned in Part 1, AI Builder is a game changer in Power Apps and Microsoft Flow. In this post, I am going to show how you can access the AI Builder for classification. To see how to set up your environment check Part 1. Get Data. To get data, you need Read more about AI Builder: AI Embedded in Power Apps- Part 2

There is a new announcement in the Business Application Summit about AI Builder! So what is AI Builder? Power Apps has been here for a while; it helps non-developer people create their own applications using an Office 365 account. Power Apps has the ability to get data from 100 resources, create an application with multiple Read more about AI Builder: AI Embedded in Power Apps- Part 1