David Smith (revodavid)

revodavid

Geek Repo

Company:Microsoft

Location:San Francisco Bay Area, CA

Home Page:http://blog.revolutionanalytics.com

Twitter:@revodavid

Github PK Tool:Github PK Tool


Organizations
Azure
Azure-Samples
microsoft

David Smith's repositories

rlangtip

R package to generate a helpful tip about R

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weather-report

Example of using checkpoint with knitr in RStudio

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rfinance-realtime

Scripts from the R/Finance 2017 presentation

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minecraft-maze

Create a maze in Minecraft, and a bot navigate it

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Creating-maps-in-R

Introductory tutorial on graphical display of geographical information in R.

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greta-examples

R scripts for data analysis using the greta package

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happyrepo

My practice repo from rstudio::conf

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MachineLearningNotebooks

Use the sample notebooks in this repo to explore the Azure Machine Learning service. Start with the 01.getting-started notebooks.

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AcademicEngagments

Academic Documentation

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AMLSDKRModelsOperationalization

Operationalize R models at scale using Python via Azure ML SDK

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awesome-r-organizations

A community curated list of awesome companies/organizations that contribute open source R software/packages

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azure-content

Repository containing the Articles on azure.microsoft.com Documentation Center

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checkpoint

Reproducibile R Toolkit

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hexbot

Every request returns a different hex code—all 16,777,216 of them.

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machine-learning-server-docs

This is the GitHub repository for the technical product documentation for Machine Learning Server. See the README.md file for more. This documentation is published to:

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miner-server

Spigot minecraft server with Raspberryjuice plugin

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praise

Praise useRs when they have done something good, or when they just need it

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r-pkgs

Building R packages

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rblocks

A fun and visual way to learn data structures and control flow in R.

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RTVS-docs

RTVS documentation and samples

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user2014.github.io

UseR 2014 Web Pages

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vscode-tools-for-ai

VS Code Tools for AI is an extension to build, test, and deploy Deep Learning / AI solutions. 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. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.

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webservices

CRAN Task View for interacting with data on the web via web services, and parsing data from the web

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