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Author: United States Department of the Army
Publisher:
ISBN:
Category :
Languages : en
Pages : 456
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Book Description
Author: United States Department of the Army
Publisher:
ISBN:
Category :
Languages : en
Pages : 456
Get Book Here
Book Description
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 149204735X
Category : Computers
Languages : en
Pages : 372
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Book Description
Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production
Author: Sholom M. Weiss
Publisher: Springer
ISBN: 1447167503
Category : Computers
Languages : en
Pages : 249
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Book Description
This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics. Serving also as a practical guide, this unique book provides helpful advice illustrated by examples and case studies. This highly anticipated second edition has been thoroughly revised and expanded with new material on deep learning, graph models, mining social media, errors and pitfalls in big data evaluation, Twitter sentiment analysis, and dependency parsing discussion. The fully updated content also features in-depth discussions on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Features: includes chapter summaries and exercises; explores the application of each method; provides several case studies; contains links to free text-mining software.
Author: Abdelrahman Desoky
Publisher: CRC Press
ISBN: 1439846227
Category : Business & Economics
Languages : en
Pages : 300
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Book Description
Among the features that make Noiseless Steganography: The Key to Covert Communications a first of its kind: The first to comprehensively cover Linguistic SteganographyThe first to comprehensively cover Graph SteganographyThe first to comprehensively cover Game SteganographyAlthough the goal of steganography is to prevent adversaries from suspe
Author: Priscilla Walmsley
Publisher: "O'Reilly Media, Inc."
ISBN: 1449391184
Category : Computers
Languages : en
Pages : 513
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Book Description
With the XQuery 1.0 standard, you finally have a tool that will make it much easier to search, extract and manipulate information from XML content stored in databases. This in-depth tutorial not only walks you through the XQuery specification, but also teaches you how to program with this widely anticipated query language. XQuery is for query writers who have some knowledge of XML basics, but not necessarily advanced knowledge of XML-related technologies. It can be used both as a tutorial, by reading cover to cover, and as a reference, by using the comprehensive index and appendixes. Either way, you will find the background knowledge in namespaces, schemas, built-in types and regular expressions that is relevant to writing XML queries. This book provides: A high-level overview and quick tour of XQuery Information to write sophisticated queries, without being bogged down by the details of types, namespaces, and schemas Advanced concepts for users who want to take advantage of modularity, namespaces, typing and schemas Guidelines for working with specific types of data, such as numbers, strings, dates, URIs and processing instructions A complete alphabetical reference to the built-in functions and types You will also learn about XQuery's support for filtering, sorting, and grouping data, as well as how to use FLWOR expressions, XPath, and XQuery tools for extracting and combining information. With this book, you will discover how to apply all of these tools to a wide variety of data sources, and how to recombine information from multiple sources into a single final output result. Whether you're coming from SQL, XSLT, or starting from scratch, this carefully paced tutorial takes you through the final 1.0 standard in detail.
Author: Dilip Datta
Publisher: Springer
ISBN: 3319478311
Category : Computers
Languages : en
Pages : 309
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Book Description
This book presents direct and concise explanations and examples to many LaTeX syntax and structures, allowing students and researchers to quickly understand the basics that are required for writing and preparing book manuscripts, journal articles, reports, presentation slides and academic theses and dissertations for publication. Unlike much of the literature currently available on LaTeX, which takes a more technical stance, focusing on the details of the software itself, this book presents a user-focused guide that is concerned with its application to everyday tasks and scenarios. It is packed with exercises and looks at topics like formatting text, drawing and inserting tables and figures, bibliographies and indexes, equations, slides, and provides valuable explanations to error and warning messages so you can get work done with the least time and effort needed. This means LaTeX in 24 Hours can be used by students and researchers with little or no previous experience with LaTeX to gain quick and noticeable results, as well as being used as a quick reference guide for those more experienced who want to refresh their knowledge on the subject.
Author: Waterways Experiment Station (U.S.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 260
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Book Description
Author: Wei-Dong (Jackie) Zhu
Publisher: IBM Redbooks
ISBN: 0738439428
Category : Computers
Languages : en
Pages : 598
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Book Description
IBM® WatsonTM Content Analytics (Content Analytics) Version 3.0 (formerly known as IBM Content Analytics with Enterprise Search (ICAwES)) helps you to unlock the value of unstructured content to gain new actionable business insight and provides the enterprise search capability all in one product. Content Analytics comes with a set of tools and a robust user interface to empower you to better identify new revenue opportunities, improve customer satisfaction, detect problems early, and improve products, services, and offerings. To help you gain the most benefits from your unstructured content, this IBM Redbooks® publication provides in-depth information about the features and capabilities of Content Analytics, how the content analytics works, and how to perform effective and efficient content analytics on your content to discover actionable business insights. This book covers key concepts in content analytics, such as facets, frequency, deviation, correlation, trend, and sentimental analysis. It describes the content analytics miner, and guides you on performing content analytics using views, dictionary lookup, and customization. The book also covers using IBM Content Analytics Studio for domain-specific content analytics, integrating with IBM Content Classification to get categories and new metadata, and interfacing with IBM Cognos® Business Intelligence (BI) to add values in BI reporting and analysis, and customizing the content analytics miner with APIs. In addition, the book describes how to use the enterprise search capability for the discovery and retrieval of documents using various query and visual navigation techniques, and customization of crawling, parsing, indexing, and runtime search to improve search results. The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and analyze their enterprise content to improve and enhance their business operations. It is also intended as a technical how-to guide for use with the online IBM Knowledge Center for configuring and performing content analytics and enterprise search with Content Analytics.
Author: J. David Eisenberg
Publisher: "O'Reilly Media, Inc."
ISBN: 1449313213
Category : Computers
Languages : en
Pages : 371
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Book Description
Scalable Vector Graphics -- or SVG -- is the new XML-based graphics standard from the W3C that will enable Web documents to be smaller, faster and more interactive. J. David Eisenberg's insightful book takes you through the ins and outs of SVG, beginning with basics needed to create simple line drawings and then moving through more complicated features like filters, transformations, and integration with Java, Perl, and XSLT.Unlike GIFs, JPEGs or PNGs (which are bitmapped), SVG images are both resolution- and device-independent, so that they can scale up or down to fit proportionally into any size display or any Internet device -- from PDAs to large office monitors and high-resolution printers. Smaller than bitmapped files and faster to download, SVG images can be rendered with different CSS styles for each environment. They work well across a range of available bandwidths.SVG makes it possible for designers to escape the constant need to update graphics by hand or use custom code to generate bitmap images. And while SVG was created with the Web in mind, the language has a variety of other uses. SVG greatly simplifies tasks like: Creating web sites whose graphics reflect the content of the page, changing automatically if the content changes Generating graphs and charts from information stored in a wide variety of sources Exchanging detailed drawings, from architectural plans to CAD layouts to project management diagrams Creating diagrams that users can explore by zooming in and panning around Generating bitmap images for use in older browsers using simple automatable templates Managing graphics that support multiple languages or translations Creating complex animation By focusing sharply on the markup at the foundation of SVG, SVG Essentials gives you a solid base on which to create your own custom tools. Explanations of key technical tools -- like XML, matrix math, and scripting -- are included as appendices, along with a reference to the SVG vocabulary.Whether you're a graphic designer in search of new tools or a programmer dealing with the complex task of creating and managing graphics, SVG Essentials provides you with the means to take advantage of SVG.
Author: Diana Maynard
Publisher: Morgan & Claypool Publishers
ISBN: 1627056327
Category : Computers
Languages : en
Pages : 196
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Book Description
This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future.
