Setting up your Visual Studio Code Tools for AI – Towards Data Science – Medium

Setting up your #VisualStudio Code Tools for #AI

#MachineLearning

  • It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets.This is actually a useful tool for developers who needs to work on a AI Solution, while still using the code editor of…
  • “Number of seats” is basically the total number of Azure users you can add to your Experimentation account.A subscription can have only one plan with a “DevTest” pricing tier.Currently supported location is Australia East, East US 2, and West Central US.Install Azure Machine Learning WorkbenchOnce we have our Azure Machine…
  • It allows you to manage machine learning solutions through the entire data science life cycle.Currently the Azure Machine Learning Workbench desktop app can be installed on the following operating systems only:Windows 10Windows Server 2016macOS Sierra (macOS High Sierra is not supported yet)Note: Azure Machine Learning Workbench will also download and…
  • $ brew install openssl$ mkdir -p /usr/local/lib$ ln -s /usr/local/lib/$ ln -s /usr/local/lib/Install and explore project samples in Visual Studio Code Tools for AINow that we have our Azure Machine Learning accounts and Azure Machine Learning Workbench setup, we’re now ready to use Visual Studio Code Tools for AIDownload the Visual…
  • To fix this, just restart the VS Code and you should be able to see the command again.Create a new project in Azure Machine Learning Sample ExplorerWe’ll now then try to create a simple project using sample explorer and test it in our local machine.Click “install” to the Simple Linear Regression…

Microsoft just launched a new set of tools related to Artificial Intelligence last September at Microsoft Ignite 2017, and one of those tools is Visual Studio Code Tools for AI. This is actually a…

Setting up your Visual Studio Code Tools for AIMicrosoft just launched a new set of tools related to Artificial Intelligence last September at Microsoft Ignite 2017, and one of those tools is Visual Studio Code Tools for AI.Visual Studio Code Tools for AI is an extension to build, test, and deploy Deep Learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets.This is actually a useful tool for developers who needs to work on a AI Solution, while still using the code editor of their choice, which in my case is Visual Studio Code.Getting StartedBefore we actually proceed with installing and setting up the extension in VS Code, we will first need to create an Azure Machine Learning Experimentation account and Azure Machine Learning Model Management account, which will allow us to create a project using sample explorer in VS Code later on.Log in to Azure PortalFirst step is to login your Azure account at portal.azure.com. If you don’t have an Azure account, you can go here to get a free trial.Create an Azure Machine Learning Experimentation and Model Management accountOnce you’re in the Azure portal, do the following:Click the “+ New” buttonSearch for “Machine Learning Experimentation”3. Click “Create”4. Fill out the Machine Learning Experimentation information5. Click “Create” and you should be able to see that the services is successfully createdThings to keep in mind:Make sure that you check the…

Setting up your Visual Studio Code Tools for AI – Towards Data Science – Medium