March 2018
Volume 33 Number 3
![]() [Blockchain]Blockchain FundamentalsIf you've been sitting on the blockchain sidelines, it's time to catch up. Jonathan Waldman explores the core technical underpinnings on which many modern blockchain technologies are based. |
![]() [Data Points]Calling Azure Functions from the Universal Windows PlatformIn the final column in this series, you’ll see how to make requests from the UWP application to previously created Azure functions both to send game scores and to receive and display top scores for the player across all of her devices as well as top scores for all players around the globe. |
![]() [ASP.NET]Use Razor to Generate HTML for Templates in a Single-Page AppAfter switching to an MVVM framework like Angular or Knockout, what do you miss from ASP.NET? Learn how to incorporate some of the best features of the Razor View Engine into your development cycle and boost your productivity. |
![]() [The Working Programmer]How To Be MEAN: Validating AngularThis month Ted Neward explores validating data input, because without validation you’re basically asking users to pour garbage into your system, leaving it to you to sort out. |
![]() [Azure]Enterprise Data Integration Patterns with Azure Service BusStefano Tempesta introduces the four most common design patterns for integrating data across various networks, applications and repositories, and describes their application in the context of the Azure Service Bus. In the age of big data and machine learning, acquiring and retaining information can be surprisingly complex. This article provides an overview and working implementation of data integration processes for applications, using Azure Service Bus. |
![]() [Artificially Intelligent]Explore Deep Learning Toolkits with Jupyter NotebooksJupyter Notebooks act as a kind of interactive “scratch pad” for data science, allowing data scientists to share code, insights and documentation. In this article, Frank La Vigne shows how to work with multiple Jupyter Notebooks for popular machine learning libraries like CNTK and TensorFlow—all in one place and without installing software. |
![]() [Azure]Secure Your Sensitive Business Information with Azure Key VaultSrikantan Sankaran presents a business scenario that requires issuing, tracking and managing insurance policies for vehicles, and demonstrates how you can use Azure Key Vault to achieve these goals securely. |
![]() [Cutting Edge]REST and Web API in ASP.NET CoreDino Esposito examines Web API support in ASP.NET Core and the features that make building a RESTful API simpler than ever. |
![]() [Test Run]Neural Binary Classification Using CNTKBinary classification attempts to predict into which of two groups an item in a given set should be placed. There are many techniques that can be used to tackle binary classification problems. James McCaffrey explains how to use the Microsoft Cognitive Toolkit (CNTK) library to create a neural network binary classification model. The goal of a binary classification problem is to make a prediction where the value to predict can take one of just two possible values. There are many approaches to this problem, but in this article I'll show how the CNTK library can create a neural network binary classification model. |
![]() [Don't Get Me Started]This Is Not A DrillWhen the Hawaii Emergency Management Agency accidentally pushed out an emergency alert warning of an impending ballistic missile attack, it became national news--and a warning of the impact bad UI can have. |
![]() [Editor's Note]Chain of DemandThe blockchain technologies behind cryptocurrencies like Bitcoin hold immense promise for activities like digital transactions and asset verification. But developers face challenges in a fast-moving sector. |