Volume 33 Number 7
July 2018 Code Downloads
|Blockchain - Decentralized Applications with Azure Blockchain as a Service
Blockchain has emerged as a solution for streamlining business processes, verifying transactions, and reducing the potential for fraud. This article introduces Blockchain as a Service (BaaS) in Microsoft Azure to build a secured data structure and create a distributed transactional digital ledger.
|Data Points - EF Core 2.1 Query Types
Julie Lerman delves into the new EF Core 2.1 Query Type feature, which lets you more easily query a database without needing true entities with key properties to consume the results.
|Machine Learning - Machine Learning with IoT Devices on the Edge
IoT devices on the edge often require very fast, reliable performance, but they’re often too small and weak to use a model developed on a powerful desktop machine. James McCaffrey explains two ways to design ML on the edge, one that uses a custom model and IO function and a second that uses the Microsoft Embedded Learning Library to deploy an ML model to an IoT device.
|Test Run - Introduction to DNN Image Classification Using CNTK
Though the use of a convolutional neural network (CNN) is now more common for image classification, for simple image classification tasks, using a standard deep neural network (DNN) is easier and often just as or even more effective. In this article, James McCaffrey explains the DNN approach, using the Microsoft CNTK library.