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…
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Microsoft Ventures out to Democratize AI

Microsoft Ventures out to Democratize AI  #AI #Microsoft

  • Launched in early 2016, Element AI enables organizations to develop their own AI solutions by implementing an “AI-First” strategy.
  • “Microsoft is committed to democratizing AI with guiding principles to drive positive impact.
  • Element AI, a Canada-based AI incubator, was the first recipient of funding from this new fund.
  • Element AI shares our approach and philosophy.”
  • “We all know ‘You’re only as good as your tools’ and now Element AI is getting supercharged with Microsoft Ventures,” says Jean-François Gagné, CEO, Element AI. “

Microsoft is taking big steps to make its mark in the Artificial Intelligence (AI) sector.
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Google’s DeepMind AI Is Now Capable Of Self-Teaching New Things – The Merkle

.@Google DeepMind #AI Capable Of Self-Teaching New Things |   /@DeepLearn007 @themerklenews

  • Google, who developed DeepMind, recently bolstered their AI solution to make it learn new tricks faster.
  • Artificial intelligence capable of teaching itself new things can be seen as a troublesome development.
  • Google’s DeepMind AI Is Now Capable Of Self-Teaching New Things
  • Increasing the performance of this AI solution is of the utmost importance, even though its track record speaks for itself.
  • One of the primary selling points of artificial intelligence is how this technology can learn over time.

One of the primary selling points of artificial intelligence is how this technology can learn over time. Google, who developed DeepMind, recently bolstered their AI solution to make it learn new tricks faster. According to tests, DeepMind is now capable of learning close to 87% of expert human performance in games. This is an exciting development, although its real life use cases remain to be determined.
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