299 products were found matching your search for Textverarbeitung Text Processing in 2 shops:

This revised and expanded new edition of an internationally successful classic presents an accessible introduction to the key methods in digital image processing for both practitioners and teachers. Emphasis is placed on practical application, presenting precise algorithmic descriptions in an unusually high level of detail, while highlighting direct connections between the mathematical foundations and concrete implementation. The text is supported by practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of teaching experience, including easily adaptable Java code and completely worked out examples. Source code, test images and additional instructor materials are also provided at an associated website. Digital Image Processing is the definitive textbook for students, researchers, and professionals in search of critical analysis and modern implementations of the most important algorithms in the field, and is also eminently suitable for self-study.

Arising from courses taught by the authors, this largely self-contained treatment is ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. Early chapters cover Fourier analysis, functional analysis, probability and linear algebra, all of which have been chosen to prepare the reader for the applications to come. The book includes rigorous proofs of core results in compressive sensing and wavelet convergence. Fundamental is the treatment of the linear system y=Φx in both finite and infinite dimensions. There are three possibilities: the system is determined, overdetermined or underdetermined, each with different aspects. The authors assume only basic familiarity with advanced calculus, linear algebra and matrix theory and modest familiarity with signal processing, so the book is accessible to students from the advanced undergraduate level. Many exercises are also included.

This revised and expanded new edition of an internationally successful classic presents an accessible introduction to the key methods in digital image processing for both practitioners and teachers. Emphasis is placed on practical application, presenting precise algorithmic descriptions in an unusually high level of detail, while highlighting direct connections between the mathematical foundations and concrete implementation. The text is supported by practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of teaching experience, including easily adaptable Java code and completely worked out examples. Source code, test images and additional instructor materials are also provided at an associated website. Digital Image Processing is the definitive textbook for students, researchers, and professionals in search of critical analysis and modern implementations of the most important algorithms in the field, and is also eminently suitable for self-study.

Book by O'Reilly, Tim, Dougherty, D.

There's nothing that hard-core Unix and Linux users are more fanatical about than their text editor. Editors are the subject of adoration and worship, or of scorn and ridicule, depending upon whether the topic of discussion is your editor or someone else's.vi has been the standard editor for close to 30 years. Popular on Unix and Linux, it has a growing following on Windows systems, too. Most experienced system administrators cite vi as their tool of choice. And since 1986, this book has been the guide for vi. However, Unix systems are not what they were 30 years ago, and neither is this book. While retaining all the valuable features of previous editions, the 7th edition of Learning the vi and vim Editors has been expanded to include detailed information on vim, the leading vi clone. vim is the default version of vi on most Linux systems and on Mac Os X, and is available for many other operating systems too. With this guide, you learn text editing basics and advanced tools for both editors, such as multi-window editing, how to write both interactive macros and scripts to extend the editor, and power tools for programmers - all in the easy-to-follow style that has made this book a classic. Learning the vi and vim Editors includes: A complete introduction to text editing with vi:How to move around vi in a hurry Beyond the basics, such as using buffers vi's global search and replacement Advanced editing, including customizing vi and executing Unix commandsHow to make full use of vim: Extended text objects and more powerful regular expressions Multi-window editing and powerful vim scripts How to make full use of the Gui version of vim, called gvim vim's enhancements for programmers, such as syntax highlighting, folding and extended tags Coverage of three other popular vi clones - nvi, elvis, and vile - is also included. You'll find several valuable appendixes, including an alphabetical quick reference to both vi and

Gregg College Keyboarding and Document Processing (GDP), 11e by Ober, Johnson, and Zimmerly: Your complete learning/teaching system. Your guide to success. GDP/11 is an integrated keyboarding system designed to process and score documents created in Microsoft Word. Together, the book and software systematically lead students through each lesson to provide an easy path to success. As a solid product for over 50 years, this version of the GDP software has grown into an online functionality. The same program is now web-based with seamless updates to provide greater accessibility for use at home, in class, and in labs - perfect for distance learning! Strong enhancements to the book while maintaining key elements including integrated language arts (starting at lesson 21) support the cohesive program's strong content. Skillbuilding is reinforced with MAP+ (Misstroke Analysis and Prescription). MAP+ is an individualized, diagnostic tool that is built into the software to help identify student's strengths and weaknesses while providing prescriptive drills to help them practice where they need it most. Also, MAP+ now has new, unlimited drill lines that begin at Lesson 1. Additionally, GDP/11 automatically scores for keyboarding errors and now formatting errors too! As a result, instructors will appreciate the customization of course management tools in GDP/11, including the new GPS (Grade Posting System) which allows complete flexibility in setting up grades. GDP/11 your complete learning/teaching system. Your guide to success.

Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. You’ll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well.   Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conference papers. Additionally, the book covers text similarity techniques with a real-world example of movie recommenders, along with sentiment analysis using supervised and unsupervised techniques.There is also a chapter dedicated to semantic analysis where you’ll see how to build your own named entity recognition (NER) system from scratch. While the overall structure of the book remains the same, the entire code base, modules, and chapters has been updated to the latest Python 3.x release.What You'll Learn· Understand NLP and text syntax, semantics and structure· Discover text cleaning and feature engineering· Review text classification and text clustering · Assess text summarization and topic models· Study deep learning for NLPWho This Book Is ForIT professionals, data analysts, developers, linguistic experts, data scientists and engineers and basically anyone with a keen interest in linguistics, analytics and generating insights from textual data.

Gregg College Keyboarding and Document Processing (GDP), 11e by Ober, Johnson, and Zimmerly: Your complete learning/teaching system. Your guide to success. GDP/11 is an integrated keyboarding system that cohesively lead students through each lesson to provide an easy path to success. As a solid product for over 50 years, this version of the GDP software has grown into an online functionality. The same program is now web-based with seamless updates to provide greater accessibility for use at home, in class, and in labs - perfect for distance learning! Strong enhancements to the book while maintaining key elements support the cohesive program's strong content. Skillbuilding is reinforced with MAP+ (Misstroke Analysis and Prescription). MAP+ is an individualized, diagnostic tool that is built into the software to help identify student's strengths and weaknesses while providing prescriptive drills to help them practice where they need it most. Also, MAP+ now has new, unlimited drill lines that begin at Lesson 1. GDP/11 automatically scores for keyboarding errors. As a result, instructors will appreciate the customization of course management tools in GDP/11, including the new GPS (Grade Posting System) which allows complete flexibility in setting up grades. GDP/11 your complete learning/teaching system. Your guide to success.

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks

Book is in NEW condition. 2.07

Arising from courses taught by the authors, this largely self-contained treatment is ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. Early chapters cover Fourier analysis, functional analysis, probability and linear algebra, all of which have been chosen to prepare the reader for the applications to come. The book includes rigorous proofs of core results in compressive sensing and wavelet convergence. Fundamental is the treatment of the linear system y=Φx in both finite and infinite dimensions. There are three possibilities: the system is determined, overdetermined or underdetermined, each with different aspects. The authors assume only basic familiarity with advanced calculus, linear algebra and matrix theory and modest familiarity with signal processing, so the book is accessible to students from the advanced undergraduate level. Many exercises are also included.

Adopted as the undisputed Perl bible soon after the first edition appeared in 1991, Programming Perl is still the go-to guide for this highly practical language. Perl began life as a super-fueled text processing utility, but quickly evolved into a general purpose programming language that’s helped hundreds of thousands of programmers, system administrators, and enthusiasts, like you, get your job done.In this much-anticipated update to "the Camel," three renowned Perl authors cover the language up to its current version, Perl 5.14, with a preview of features in the upcoming 5.16. In a world where Unicode is increasingly essential for text processing, Perl offers the best and least painful support of any major language, smoothly integrating Unicode everywhere—including in Perl’s most popular feature: regular expressions.Important features covered by this update include:New keywords and syntaxI/O layers and encodingsNew backslash escapesUnicode 6.0Unicode grapheme clusters and propertiesNamed captures in regexesRecursive and grammatical patternsExpanded coverage of CPANCurrent best practices

Book is in NEW condition. 1.42

Book is in acceptable condition and shows signs of wear. Book may also include underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

Gregg College Keyboarding and Document Processing (GDP), 11e by Ober, Johnson, and Zimmerly: Your complete learning/teaching system. Your guide to success. GDP/11 is an integrated keyboarding system designed to process and score documents created in Microsoft Word. Together, the book and software systematically lead students through each lesson to provide an easy path to success. As a solid product for over 50 years, this version of the GDP software has grown into an online functionality. The same program is now web-based with seamless updates to provide greater accessibility for use at home, in class, and in labs - perfect for distance learning! Strong enhancements to the book while maintaining key elements including integrated language arts (starting at lesson 21) support the cohesive program's strong content. Skillbuilding is reinforced with MAP+ (Misstroke Analysis and Prescription). MAP+ is an individualized, diagnostic tool that is built into the software to help identify student's strengths and weaknesses while providing prescriptive drills to help them practice where they need it most. Also, MAP+ now has new, unlimited drill lines that begin at Lesson 1. Additionally, GDP/11 automatically scores for keyboarding errors and now formatting errors too! As a result, instructors will appreciate the customization of course management tools in GDP/11, including the new GPS (Grade Posting System) which allows complete flexibility in setting up grades. GDP/11 your complete learning/teaching system. Your guide to success.

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you:Extract information from unstructured text, either to guess the topic or identify "named entities"Analyze linguistic structure in text, including parsing and semantic analysisAccess popular linguistic databases, including WordNet and treebanksIntegrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

Unread book in perfect condition.

Jackson, P. / I. Moulinier: Natural Language Processing for Online Applications. Text Retrieval, Extraction and Categorization. Amsterdam, 2002, X 225 P. , 335 Gr. Encuadernacion Original. Nuevo. (lb-1-6) 335 Gr.

Acceptable/Fair condition. Book is worn, but the pages are complete, and the text is legible. Has wear to binding and pages, may be ex-library. 1.42