hning86 Goto Github PK

articles

azure-content

Repository containing the Articles on windowsazure.com Documentation Center

azure-docs

azure-sdk-tools-samples

Samples for Windows Azure PowerShell

azuremlapphome

azuremlsdk-docker

Docker images for Azure Machine Learning service SDK

bikeshare

classifying-iris

daemon-dotnet

In this sample a Windows console application calls a web API using it's app identity. This scenario is useful for situations where headless or unattended job or process needs to run as an application identity, instead of as a user's identity. The application uses the Active Directory Authentication Library (ADAL) to get a token from Azure AD using the OAuth 2.0 client credential flow, where the client credential is a password.

deeplearning-3

etsbasedforecasting

hdinsight-dotnet-python-azure-storage-shared-access-signature

How to restrict access to Azure blob storage from HDInsight by using shared access signatures. This sample spans HDInsight and Azure Storage, and samples are provided for dotnet and python.

iris

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

machine-learning-operationalization

Deploying machine learning models to Azure

machinelearning

Machine Learning Class on Coursera

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

markdown-portfolio

ml

mmlspark

Microsoft Machine Learning for Apache Spark

notebook-based-bike-rental-using-keras-tensorflow

parametersweep

pmchallenge

predictivemaintenancescenario

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

r-cadence

Training Materials for R and Microsoft R Server

rtvs

R Tools for Visual Studio.

slideshow

spark

Mirror of Apache Spark

tensorflow

Computation using data flow graphs for scalable machine learning