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Office 365 for Healthcare Professionals
Office 365 for Healthcare Professionals

Healthcare is a complex, rapidly changing industry. Providers are expected to maximize and extend care for patients, while working with fewer resources and striving to stay modern and secure. This book offers prescriptive guidance and real-world use cases that will help readers leverage Office 365 and the cloud in order to be more productive, secure, and compliant with all the healthcare compliance standards. Office 365 for Healthcare increases the value of a provider's existing investment and infrastructure in Office 365 by teaching configurations and services that will resolve real day-to-day productivity and communication challenges. Understanding that each provider is unique, this book focuses on operational and clinical similarities that can be applied to any healthcare provider such as telehealth, readmission rate, shift scheduling, tumor board innovations, continuous education for medical practitioners, and more. Configure Office 365 to enable a compliant and meaningful co ...
Neural Networks for Electronics Hobbyists
Neural Networks for Electronics Hobbyists

Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you'll build an electronics project, providing a hands-on experience in training a network. There are no prerequisites here and you won't see a single line of computer code in this book. Instead, it takes a hardware approach using very simple electronic components. You'll start off with an interesting non-technical introduction to neural networks, and then construct an electronics project. The project isn't complicated, but it illustrates how back propagation can be used to adjust connection strengths or "weights" and train a network. By the end of this book, you'll be able to take what you've learned and apply it to your own projects. If you like to tinker around with components and build circuits on a breadboard, Neural Networks for Electronics Hobbyists is the book for you. Gain a practical introduction to neural networks; Review te ...
Introduction to Deep Learning Business Applications for Developers
Introduction to Deep Learning Business Applications for Developers

Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles. An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. You'll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) ...
Pro PowerShell Desired State Configuration, 2nd Edition
Pro PowerShell Desired State Configuration, 2nd Edition

Use Windows PowerShell Desired State Configuration (DSC) to configure your infrastructure on-premises and in the cloud. In an environment where changes and deployments are happening all the time, DSC makes the necessary adjustments to the system so you don't have to. Pro Desired State Configuration shows you how. PowerShell Desired State Configuration (DSC) is a powerful configuration management platform that makes it easier than ever to perform configuration management of your infrastructure, whether on-premises or in the cloud. With Pro PowerShell Desired State Configuration, Ravikanth Chaganti revises and significantly expands his previous edition, bringing you a complete in-depth reference for applying this evolving technology in your day-to-day work. Get up-to-date, in-depth guidance on DSC in the data center; Understand the central role that DSC plays in DevOps today; Understand how DSC can be integrated into build and release management tools; Learn to think and act like a ...
Practical Web Scraping for Data Science
Practical Web Scraping for Data Science

This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full understanding. The authors recommend web scraping as a powerful tool for any data scientist's arsenal, as many data science projects start by obtaining an appropriate data set. Starting with a brief overview on scraping and real-life use cases, the authors explore the core concepts of HTTP, HTML, and CSS to provide a solid foundation. Along with a quick Python primer, they cover Selenium for JavaScript-heavy sites, and web crawling in detail. The book finishes with a recap of best practices and a collection of examples that bring together everything you've learned and illustrate various data science use cases. Leverage well-established best practices and commonly ...
Deep Belief Nets in C++ and CUDA C: Volume 1
Deep Belief Nets in C++ and CUDA C: Volume 1

Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers with CUDA-capable video display cards. The first of three in a series on C++ and CUDA C deep learning and belief nets, Deep Belief Nets in C++ and CUDA C: Volume 1 shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a thought process that is capable of learning abstract concepts built from simpler primitives. As such, you'll see that a typical deep belief net can learn to recognize complex patterns by optimizing millions of parameters, yet this model can still be resistant to overfitting. All the routines and algorithms presented in the book are available in the c ...
MATLAB Differential Equations
MATLAB Differential Equations

MATLAB Differential Equations introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to work on differential equations using MATLAB. It includes techniques for solving ordinary and partial differential equations of various kinds, and systems of such equations, either symbolically or using numerical methods (Euler's method, Heun's method, the Taylor series method, the Runge–Kutta method,...). It also describes how to implement mathematical tools such as the Laplace transform, orthogonal polynomials, and special functions (Airy and Bessel functions), and find solutions of finite difference equations. ...
MATLAB Matrix Algebra
MATLAB Matrix Algebra

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Matrix Algebra introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. Starting with a look at symbolic and numeric variables, with an emphasis on vector and matrix variables, you will go on to examine functions and operations that support vectors and matrices as arguments, including those based on analytic parent functions. ...
Migrating to Swift from Android
Migrating to Swift from Android

In 250 pages, Migrating to Swift from Android gives you—as an experienced Android app developer—all you need to create native iOS apps using the latest Swift programming language. Starting with preparing your Xcode 6.1 IDE and introducing just enough iOS application framework fundamentals, you'll understand how to create meaningful Swift applications for iOS 8 immediately. After the short IDE setup guide, this book continues by providing guidance on how to translate your existing Android apps to iOS. Every topic comes with a tutorial project; you'll plan and structure your iOS apps following a typical top-down process using Xcode Storyboards. To implement use cases, you'll cover common mobile topics, including user interfaces, managing data, and networking with remote services. ...
Mobile and Web Messaging
Mobile and Web Messaging

Learn how to use messaging technologies to build responsive and resilient applications for mobile devices and web browsers. With this hands-on guide, you'll use the STOMP and MQTT messaging protocols to write iOS and web applications capable of sending and receiving GPS and device sensor data, text messages, and alerts. Messaging protocols are not only simple to use, but also conserve network bandwidth, device memory, and batteries. Using this book's step-by-step format, author Jeff Mesnil helps you work with Objective-C and JavaScript libraries, as well as the protocols. All you need to get started are basic programming skills. ...
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