Deep Belief Nets in C++ and CUDA C: Volume 1Discover 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 ...
Node Cookbook, 2nd EditionNode Cookbook Second Edition shows you how to transfer your JavaScript skills to server-side programming. It will talk you through the various server-side scenarios, often saving you time and effort by demonstrating best practices and showing you how to avoid security faux pas.
Beginning with making your own web server, the recipes are designed to allow smooth progression through Node in order to help you design full web applications, command-line applications, and Node modules.
There's also extensive coverage on using popular frameworks such as Express 4 and Socket.IO, writing your own Node modules and different ways to take your apps live. ...
Optimizing HPC Applications with Intel Cluster ToolsOptimizing HPC Applications with Intel Cluster Tools takes the reader on a tour of the fast-growing area of high performance computing and the optimization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interface (MPI) and OpenMP for multi-threading to achieve the ultimate goal of high performance at low power consumption on enterprise-class workstations and compute clusters.
The book focuses on optimization for clusters consisting of the Intel Xeon processor, but the optimization methodologies also apply to the Intel Xeon Phi coprocessor and heterogeneous clusters mixing both architectures. Besides the tutorial and reference content, the authors address and refute many myths and misconceptions surrounding the topic. The text is augmented and enriched by descriptions of real-life situations. ...
PhantomJS CookbookBeginning with the basics of PhantomJS, this book will dive into its core modules and guide you through how to solve real-world testing problems. This book explores a variety of test automation tasks, including executing JavaScript unit tests with the Jasmine, QUnit, and Mocha frameworks; functional tests with tools such as Selenium, Capybara, and CasperJS; performance analysis with tools such as YSlow; and much more.
If you are a web developer looking to run automated unit tests while you work, or perhaps you are a QA engineer looking for a fast test automation utility, then this book is perfect for you. Some prior knowledge of JavaScript would be helpful. ...
PhoneGap for EnterpriseThis book covers the necessary concepts you'll need to build useful, rich, secure enterprise apps for mobile devices, and also explains portions of an example enterprise app development so that you have a working demonstration of the concepts in the book.
The book focuses heavily on security concepts such as authorization, SSL and certificates, source code protection, local data store encryption, and so on, as ensuring a secure channel of communication between the user and the enterprise servers is critical.
The book explores the entire app's design, covering the data model and business logic you'll use for your app. It then moves on to cover how to build middle-tier communication between the middle tier and the mobile device, handling application and network events (such as a network going offline), and culminates by showing you how to work with various rich presentation technologies. ...
PHPUnit EssentialsThe ability to write unit tests and software testing have become skills that every PHP developer should master.
This book is a practical guide to PHPUnit and unit testing, covering all aspects of writing PHPUnit tests and using them. The book shows why testable code is better code and how to write good tests with the help of simple and easy-to-understand examples.
With this book, you will learn how to write, organize, and execute effective tests. Step-by-step techniques of how to write testable code, how to refactor the code, and how to run your tests are shown. You will also learn about advanced testing techniques, including how to test databases, APIs, and legacy code. PHPUnit Essentials is a guide for PHP developers who want to learn or improve their software testing skills. It is a book for developers who begin with testing but is also a good source of information for developers who are already familiar with PHPUnit. ...
Practical Data Science with RBusiness analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics.
Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all levels. ...
DevOps with OpenShiftFor many organizations, a big part of DevOps appeal is software automation using infrastructure-as-code techniques. This book presents developers, architects, and infra-ops engineers with a more practical option. You'll learn how a container-centric approach from OpenShift, Red Hat's cloud-based PaaS, can help your team deliver quality software through a self-service view of IT infrastructure.
Three OpenShift experts at Red Hat explain how to configure Docker application containers and the Kubernetes cluster manager with OpenShift's developer - and operational-centric tools. Discover how this infrastructure-agnostic container management platform can help companies navigate the murky area where infrastructure-as-code ends and application automation begins.
Get an application-centric view of automation—and understand why it's important; Learn patterns and practical examples for managing continuous deployments such as rolling, A/B, blue-green, and canary; Implement continuous inte ...
Ansible: Up and Running, 2nd EditionAmong the many configuration management tools available, Ansible has some distinct advantages - it's minimal in nature, you don't need to install anything on your nodes, and it has an easy learning curve. With this updated second edition, you'll learn how to be productive with this tool quickly, whether you're a developer deploying code to production or a system administrator looking for a better automation solution.
Authors Lorin Hochstein and René Moser show you how to write playbooks (Ansible's configuration management scripts), manage remote servers, and explore the tool's real power: built-in declarative modules. You'll discover that Ansible has the functionality you need - and the simplicity you desire.
Manage Windows machines, and automate network device configuration; Manage your fleet from your web browser with Ansible Tower; Understand how Ansible differs from other configuration management systems; Use the YAML file format to write your own playbooks; Work with a comp ...
Text Mining with RMuch of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.
The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You'll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media.
Learn how to apply the tidy text format to NLP; Use sentiment analysis to mine the emotional content of text; Identify a document's most important terms with frequency ...