July 2017

Volume 32 Number 7

Machine Learning - Cognition at Scale with U-SQL on ADLA

[Machine Learning]

Cognition at Scale with U-SQL on ADLA

Hiren Patel, Shravan Matthur Narayanamurthy

Companies providing cloud-scale services have an ever-growing need to store and analyze massive data sets. U-SQL provides the expressibility necessary for advanced analytics tasks, like machine learning and operating seamlessly on cloud-scale data.

Cutting Edge - Finding the Cheese in ASP.NET CoreColumn

[Cutting Edge]

Finding the Cheese in ASP.NET Core

Dino Esposito

Dino Esposito focuses on registering the MVC application model in ASP.NET Core, defining conventional routes and controllers, and passing global data around.

Machine Learning - Introduction to the Microsoft CNTK v2.0 Library

[Machine Learning]

Introduction to the Microsoft CNTK v2.0 Library

James McCaffrey

Learn how to use the Microsoft Cognitive Toolkit (CNTK), a powerful, open source library that lets you create machine learning prediction models—in particular, deep neural networks that are at the forefront of artificial intelligence efforts such as Cortana and self-driving automobiles.

Data Points - On-the-Fly SQL Servers with DockerColumn

[Data Points]

On-the-Fly SQL Servers with Docker

Julie Lerman

Julie Lerman shows you a simple way to share a pre-configured database along with a SQL Server across your team, allowing everyone to have a locally running server and a local copy of the database. And, because you’re doing it all with a container, nobody needs to install SQL Server on their computer or execute any scripts to get the database set up for use.

Machine Learning - Doing Data Science and AI with SQL Server

[Machine Learning]

Doing Data Science and AI with SQL Server

Wee Hyong

Learn how to leverage your experience working with databases to do data science. SQL Server 2016 is bursting with exciting intelligence capabilities that enable you to run R code right where the data is.

The Working Programmer - How To Be MEAN: Angular Ins and OutsColumn

[The Working Programmer]

How To Be MEAN: Angular Ins and Outs

Ted Neward

Ted Neward adds an “upvote”’ component to the Angular front end, and in doing so, demonstrates how to handle input and output to an Angular component.

Machine Learning - Scale Applications with Microsoft Azure Redis and Machine Learning

[Machine Learning]

Scale Applications with Microsoft Azure Redis and Machine Learning

Stefano Tempesta

Stefano Tempesta presents design best practices and code examples for implementing the Azure Redis Cache and tuning the performance of ASP.NET MVC applications. Learn to optimize cache hit ratios and reduce “miss rates” with smart algorithms processed by machine learning.

Modern Apps - Launch Other Applications from Your UWP AppColumn

[Modern Apps]

Launch Other Applications from Your UWP App

Frank La

Easily extend the feature set of your Universal Windows Platform apps by launching other apps pre-populated with data using protocol activation.

ASP.NET Core - ASP.NET Core with Angular, Web API and Azure DocumentDB

[ASP.NET Core]

ASP.NET Core with Angular, Web API and Azure DocumentDB

Chander Dhall

Angular, Web API and Azure DocumentDB are each great technologies to have in your development arsenal. Combined they enable developers to quickly build apps at scale.

Don't Get Me Started - Live and in ConcertColumn

[Don't Get Me Started]

Live and in Concert

David Platt

David Platt attended the Microsoft Build 2017 conference in Seattle this year. Here's what he came away with.

Upstart - The First QuarterColumn

[Upstart]

The First Quarter

Krishnan Rangachari

You get one chance to make a first impression, and one chance to make a good start at a new job. Here's six ways to ensure you hit the ground running.

Editor's Note - Machine Learning Goes MainstreamColumn

[Editor's Note]

Machine Learning Goes Mainstream

Michael Desmond

Machine learning isn't just for researchers and data scientists anymore. The July issue of MSDN Magazine highlights the tooling and platforms that are bringing machine learning to the masses.