Building Cloud Apps with Microsoft Azure: Best practices for DevOps, data storage, high availability, and more walks you through a patterns-based approach to building real-world cloud solutions. The patterns apply to the development process as well as to architecture and coding practices.
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PowerShell Succinctly highlights some of the PowerShell programming model’s many benefits, specifically for .NET developers and system administrators. Author Rui Machado guides readers through time-saving methods that simplify code testing by eliminating the need to create a new application in Visual Studio. Also included are tips for using additional services, such as PowerGui, WMI, and SQL Server, to get the most out of PowerShell.
In Android Programming Succinctly, Ryan Hodson provides a useful overview of the Android application lifecycle. Topics ranging from creating a UI to adding widgets and embedding fragments are covered, and he provides plenty of links to Android documentation along the way.
Bioinformatics Data Skills demsonstrates the practice of bioinformatics through data skills. Rigorous assessment of data quality and of the effectiveness of tools is the foundation of reproducible and robust bioinformatics analysis. Through open source and freely available tools, you’ll learn not only how to do bioinformatics, but how to approach problems as a bioinformatician.
Follow author Ricardo Peres as he introduces the newest development mode for Entity Framework, Code First. With Entity Framework Code First Succinctly, you will learn the ins and outs of developing code by hand in Code First. With this knowledge, you will be able to have finer control over your output than ever before.
In MongoDB Succinctly, author Agus Kurniawan explains the essentials of the MongoDB database system. Starting with creating a MongoDB database, you’ll learn how to make collections and interact with their data, how to build a console application to interact with binary and image collection data, and much more. You’ll also learn how to integrate MongoDB into Windows Forms, ASP.NET, and ASP.NET MVC projects.
Neural networks are a bio-inspired mechanism of data processing, that enables computers to learn technically similar to a brain and even generalize once solutions to enough problem instances are tought. The manuscript “A Brief Introduction to Neural Networks” is divided into several parts, that are again split to chapters.
Begin developing your mastery of the powerful R programming language. Become comfortable with the R environment and learn how to find ways for R to fulfill your data needs. With author Barton Poulson as your guide, you will soon be making use of this flexible, unparalleled tool.
With Neural Networks Using C# Succinctly by James McCaffrey, you’ll learn how to create your own neural network to solve classification problems, or problems where the outcomes can only be one of several values. Learn how to encode and normalize qualitative data into numeric data a neural network can use, different activation functions and when to use them, and ultimately how to train a neural network to find weights and bias values that provide accurate predictions.