My views on anything

Using Microsoft Azure Blog Storage from within R using AzureSMR

Using Microsoft Azure Blog Storage from within R using AzureSMR

One of the great new features that AzureSMR¬†is enabling is the read and write access to Azure Blog Storage. This is happening in a similar manner as is the case for when you use Python. Shameless copy from the README: In order to access Storage Blobs you need to have a key. Use azureSAGetKey() to …

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AzureSMR: handle your Azure subscription with R

AzureSMR: handle your Azure subscription with R

Great new package for the people that use Microsoft Azure as their platform of choice and love R. With AzureSMR you are capable to handle the following services: Azure Blob: List, Read and Write to Blob Services Azure Resources: List, Create and Delete Azure Resource. Deploy ARM templates. Azure VM: List, Start and Stop Azure …

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The emerging technology hype cycle by Gartner for 2016 covers 3 key Technologies trends:

The emerging technology hype cycle by Gartner for 2016 covers 3 key Technologies trends:

Transparently immersive experiences: Technology will continue to become more human-centric to the point where it will introduce transparency between people, businesses and things. This relationship will become much more entwined as the evolution of technology becomes more adaptive, contextual and fluid within the workplace, at home, and interacting with businesses and other people. The perceptual …

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Evaluating Machine Learning models when dealing with imbalanced classes

Evaluating Machine Learning models when dealing with imbalanced classes

In this blog post I talk through an example of how to pick the best model when you deal with these kind of problems. I also touch the subject of cost-sensitive predictions, introducing some code to generate plots that will help you understand your model in cost fashion. Even more important, it will be essential …

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Using Azure Machine Learning Notebooks for Quality Control of Automated Predictive Pipelines

Using Azure Machine Learning Notebooks for Quality Control of Automated Predictive Pipelines

When building an automated predictive pipeline, to have periodically batch-wise score new data, there is a need to control for quality of the predictions. The Azure Data Factory (ADF) pipeline will help you ensure that your whole data set gets scored. However, this is not taking into consideration that data can change over time. For …

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