Tom Daula points us to this post, “Economic Predictions with Big Data: The Illusion of Sparsity,” by Domenico Giannone, Michele Lenza, and Giorgio Primiceri, and writes:
Plotting wind highways using rWind
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OneR – Establishing a New Baseline for Machine Learning Classification Models
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Statistics Sunday: Introduction to Regular Expressions
R Packages worth a look
Interactive Visualization Tool for Random Forests (rfviz)An interactive data visualization and exploration toolkit that implements Breiman and Cutler’s original random forest Java based visualization tools in …
My secret sauce to be in top 2% of a Kaggle competition
By Abhay Pawar, Instacart.
AzureRMR: an R interface to Azure Resource Manager
AzureRMR is a general-purpose interface to Azure Resource Manager (ARM). You can use it to work with nearly any Azure object that ARM can handle: subscriptions, resource groups, resources, templates and so on. The things you can do with AzureRMR include:
AzureRMR: an R interface to Azure Resource Manager
AzureRMR is a general-purpose interface to Azure Resource Manager (ARM). You can use it to work with nearly any Azure object that ARM can handle: subscriptions, resource groups, resources, templates and so on. The things you can do with AzureRMR include:
Data Science Strategy Safari: Aligning Data Science Strategy to Org Strategy
By Thomas Joseph, Aspire Systems
Talking on “High Performance Python” at Linuxing In London last week
Mario of PyLondonium (where I gave a keynote talk earlier this year) was kind enough to ask me along to speak at Linuxing in London. I gave an updated version of one of my older High Performance Python talks based on material I’d covered in my book, to show the more-engineering audience how to go about profiling and speeding up Python code. The audience was lovely, many were new to Python and also first-timers at the meetup, here’s half the room: