AI: Deep Learning: research & book

Research in Focus: Deep Learning Research and the Future of AI | Microsoft Research | Channel 9

book online: Deep Learning

Deep Learning lectures

book: Deep Learning | The MIT Press

Azure Messaging decoded

podcast: Many Kinds of Messaging with Clemens Vasters @ .NET Rocks! vNext
"There are so many messaging options in Azure, how do you choose?"

• Azure Service Bus
• Azure Event Hubs
• Azure Notification Hubs
• Azure IoT Hub
• Azure Event Grid
• Azure Logic Apps
• Kafka 
• AMQP
• Azure Service Bus Relay

Windows Desktop Themes downloads

Windows link to "desktop themes" download is moved to Microsoft Store
and there is very few packages available there.

The original download site is still available at:
Featured Desktop Themes - Windows

AI ML: Azure Machine Learning Studio

Artificially Intelligent - Exploring Azure Machine Learning Studio @ MSDN Magazine
By Frank La Vigne | October 2017

data forecasting AI: Time-Series Regression Using a C# Neural Network

Test Run - Time-Series Regression Using a C# Neural Network
By James McCaffrey | October 2017 | Get the Code: C# VB

"The goal of a time-series regression problem is to make predictions based on historical time data.... this article... demonstrate how to perform a time-series regression analysis using rolling-window data combined with a neural network. ...The demo program analyzes the number of airline passengers who traveled each month between January 1949 and December 1960."

MSDN Magazine October 2017

Code Downloads for October 2017 MSDN Magazine

Time Series Regression using a C# Neural Network | James D. McCaffrey

James D. McCaffrey | Software Research, Development, Testing, and Education

James McCaffrey at Microsoft Research


GitHub - Azure/Time-series-forecasting-using-CNTK: The code to accompany “Time-series-forecasting-using-CNTK” tutorial on Cortana Intelligence Gallery 


Time Series Forecasting | Cortana Intelligence Gallery (using R)

Time Series Forecasting with Azure ML | NaadiSpeaks


Time Series Data - International Institute of Forecasters

Time Series Data Library - Data provider — DataMarket

International airline passengers: monthly totals in thousands. Jan 49 – Dec 60 — Dataset — DataMarket


RPubs - Air Passengers Forecast (with R language)
"The number of international passengers per month on an airline (Pan Am) in the united states were obtained from the Fedral Aviation Administration for the period 1946-1960. The company used the data to predict future demand before ordering new aircraft and training aircrew."

Oracle Data Mining and Analytics: Time Series Forecasting 2 - Single-step Forecasting

Neural Network Demo with C# by James McCaffrey, MSR and Build 2013 versions · GitHub

GitHub - jaocode/BuildNeuralNetworkDemo: A Swift port of James McCaffrey's C# neural network example presented at Microsoft Build 2014

GitHub - dennyferra/MultiClassLRC: Multi-Class Logistic Regression Classification, original by James McCaffrey http://bit.ly/1NvVODg