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Microsoft SQl Server ML Services: RevoScaleR Package
RevoScaleR Package RevoScaleR is packages created by Revolution Analytics (own by Microsoft) with the aim of importing, transforming, and analyzing data at scale. There are different categories of...
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Azure ML Package-Part1
Azure ML Package is another Microsoft related package that allows you to upload and download datasets to and from AzureML, to interrogate experiments, to publish R functions as AzureML web services,...
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Run R codes in Azure ML
There is a possibility to run R codes and Python in Azure ML. In this short post, I am going to show you how we can run an R codes to show some charts in Azure ML with ggplot2 package. I have a...
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Azure ML Package-Publish a Web service from R-Part2
In the last post, I have explained, how to use AzureML package with the aim of exploration of Azure ML studio experiments and datasets inside R studio environment. moreover how we can use this package...
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Road Map to use Microsoft ML tools
I normally work with most of the Microsoft tools for the aim of doing machine learning. I came up with a roadmap that shows what option for machine learning we have with Microsoft tools in Data...
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OVERVIEW ON MICROSOFT MACHINE LEARNING TOOLS
Microsoft Machine Learning Technologies Overview Artificial intelligence and specifically Machine learning can bring lots of benefit to the business owner. Many businesses using Microsoft data...
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Azure Machine Learning Services : Introduction – Part 1
In this post series, I am going to show how we can use Azure Machine learning services and the new features added that make life so easy to train, deploy, automate managing machine learning models...
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Azure Machine Learning Services : Automated Machine Learning -Part 2
In the last post, what is Azure ML Studio and Azure ML Services has been explained briefly. In this post, I will explain how to use Automated machine learning service. Automated machine learning...
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Azure Machine Learning Services : Deploy AutoML Model and Use it in Power BI-...
As I have discussed in part 1 and Part 2, the new possibility of creating machine learning without writing any Python or R codes is so amazing. In Part One, the difference between Azure ML Studio...
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Automated Machine Learning: Data Profiling in Azure ML Services – Part 4
In the last 3 posts ( introduction to Azure ML Service, AutoML Environment and how to deploy the models), some demonstration on how we able to access Automated Machine learning and how to deploy a...
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