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Machine teaching with Microsoft's Project Bonsai

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Microsoft’s simulation-based machine teaching environment provides a way to build AI control systems.
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With machine learning (ML) at the heart of much of modern computing, the interesting question is: How do machines learn? There’s a lot of deep computer science in machine learning, producing models that use feedback techniques to improve and training on massive data sets to construct models that can use statistical techniques to infer results. But what happens when you don’t have the data to build a model using these techniques? Or when you don’t have the data science skills available?
Not everything that we want to manage with machine learning generates vast amounts of big data or has the labeling necessary to make that data useful. In many cases, we might not have the needed historic data sets. Perhaps we’re automating a business process that’s never been instrumented or working in an area where human intervention i ....

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Using Pulumi 3.0 to manage Azure infrastructure

Using Pulumi 3.0 to manage Azure infrastructure
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Pulumi Ia , Cognitive Service , Pulumi Iac , Visual Studio , Azure Devops , Pulumi Automation , அறிவாற்றல் சேவை , காட்சி ஸ்டுடியோ , நீலமான தேவோபஸ் ,