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OKI 42102802 Trommelmodul schwarz
243,94 € *
zzgl. 4,70 € Versand

Die Trommelmodule sorgen für eine 1a-Druckqualität. Klare, gestochen scharfe Linien bei Text und Grafik sind gewährleistet. Beim Wechseln erneuern Sie das Drucksystem, damit bleibt der Drucker immer in Bestform.Verwendbar mit folgenden Druckern:210 Series216218B 4000B 4100B 4200B 4200 SeriesB 4200 NB 4250B 4250 NB 4300B 4300 SeriesB 4300 NB 4300 N PSB 4350B 4350 SeriesB 4350 NB 4350 N PSB 4350 PSB 4500B 4500 NB 4550B 4550 NPG L 18PG L 18 NPG L 18 PSPG L 18 PS/NLP 435

Anbieter: Schäfer Shop
Stand: 18.02.2020
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Ray, Sukanya: Building Domain Ontologies and Au...
49,00 € *
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Erscheinungsdatum: 08/2012, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Building Domain Ontologies and Automated Text Categorization, Titelzusatz: a contribution to NLP, Autor: Ray, Sukanya // Chandra, Nidhi, Verlag: LAP Lambert Academic Publishing, Sprache: Englisch, Rubrik: Informatik // EDV, Sonstiges, Seiten: 68, Informationen: Paperback, Gewicht: 118 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 18.02.2020
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Text, Speech and Dialogue
118,89 € *
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Erscheinungsdatum: 11.09.2006, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Text, Speech and Dialogue, Titelzusatz: 9th International Conference, TSD 2006, Brno, Czech Republic, September 11-15, 2006, Proceedings, Auflage: 2006, Redaktion: Kopecek, Ivan // Pala, Karel // Sojka, Petr, Verlag: Springer Berlin Heidelberg // Springer Berlin, Sprache: Englisch, Schlagworte: Kognitive Linguistik // Sprachwissenschaft // NLP // Neurolinguistische Programmierung // Recherche // Information Retrieval // Spracherkennung, Rubrik: Informatik, Seiten: 744, Informationen: Paperback, Gewicht: 1107 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 18.02.2020
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NLP-Driven Document Representations for Text Ca...
48,99 € *
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NLP-Driven Document Representations for Text Categorization ab 48.99 € als Taschenbuch: Empirical Selection of NLP-Driven Document Representations for Text Categorization. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,

Anbieter: hugendubel
Stand: 18.02.2020
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Natural Language Processing in Action: Understa...
9,95 € *
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Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.About the TechnologyRecent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries - all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before.What's inside:Some sentences in this book were written by NLP! Can you guess which ones?Working with Keras, TensorFlow, gensim, and scikit-learn.Rule-based and data-based NLP.Scalable pipelines.RequirementsThis book requires a basic understanding of deep learning and intermediate Python skills.Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production for profit and fun: contributing to social-benefit projects like smart guides for people with blindness and cognitive assistance for those with developmental challenges or suffering from information overload (don't we all?)."Provides a great overview of current NLP tools in Python. I’ll definitely be keeping this book on hand for my own NLP work. Highly recommended!" (Tony Mullen, Northeastern University - Seattle)"An intuitive guide to get you started with NLP. The book is full of programming examples that help you learn in a 1. Language: English. Narrator: Mark Thomas. Audio sample: http://samples.audible.de/bk/acx0/162830/bk_acx0_162830_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 18.02.2020
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Deep Learning for NLP and Speech Recognition
79,99 € *
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This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.

Anbieter: buecher
Stand: 18.02.2020
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Deep Learning for NLP and Speech Recognition
79,99 € *
ggf. zzgl. Versand

This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.

Anbieter: buecher
Stand: 18.02.2020
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Natural Language Processing with Python: Natura...
9,95 € *
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This audiobook is a perfect beginner's guide to natural language processing. It is offering an easy-to-understand guide to implementing NLP techniques using Python. Natural language processing has been around for more than 50 years, but just recently, with greater amounts of data present and better computational powers, it has gained a greater popularity.Given the importance of data, there is no wonder why natural language processing is on the rise. If you are interested in learning more, this audiobook will serve as your best companion on this journey introducing you to this challenging yet extremely engaging world of automatic manipulation of our human language.It covers all the basics you need to know before you dive deeper into NLP and solving more complex NLP tasks in Python.Here is a preview of what you'll learn here....The main challenges of natural language processingThe history of natural language processingHow natural langauge processing actually worksThe main natural language processing applicationsText preprocessing and noise removal Feature engineering and syntactic parsingPart of speech tagging and named entity extractionTopic modeling and word embedding Text classification problems Working with text data using NLTK Text summarization and sentiment analysis And much, much more....PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. 1. Language: English. Narrator: Jon Wilkins. Audio sample: http://samples.audible.de/bk/acx0/112216/bk_acx0_112216_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 18.02.2020
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Building Domain Ontologies and Automated Text C...
48,99 € *
ggf. zzgl. Versand

Building Domain Ontologies and Automated Text Categorization ab 48.99 € als Taschenbuch: a contribution to NLP. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,

Anbieter: hugendubel
Stand: 18.02.2020
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