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Natural language processing fundamentals for developers /

"This book is for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The first chap...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Campesato, Oswald (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dulles, Virginia : Mercury Learning and Information, [2021]
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Campesato, Oswald,  |e author. 
245 1 0 |a Natural language processing fundamentals for developers /  |c Oswald Campesato. 
264 1 |a Dulles, Virginia :  |b Mercury Learning and Information,  |c [2021] 
264 4 |c Ã2021 
300 |a 1 online resource (xviii, 363 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a 1. Working with data -- 2. NLP concepts (I) -- 3. NLP concepts (II) -- 4. Algorithms and toolkits (I) -- 5. Algorithms and toolkits (II) -- 6. NLP applications -- 7. Transformer, BERT, and GPT -- Appendix A. Introduction to regular expressions -- Appendix B. Introduction to probability and statistics. 
520 |a "This book is for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The first chapter shows you various details of managing data that are relevant for NLP. The next pair of chapters contain NLP concepts, followed by another pair of chapters with Python code samples to illustrate those NLP concepts. Chapter 6 explores applications, e.g., sentiment analysis, recommender systems, COVID-19 analysis, spam detection, and a short discussion regarding chatbots. The final chapter presents the Transformer architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years and considered SOTA ("state of the art"). The appendices contain introductory material (including Python code samples) on regular expressions and probability/statistical concepts. Companion files with source code and figures are included."--  |c Provided by publisher. 
545 0 |a Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, NLP, Android, and TensorFlow. 
588 0 |a Print version record. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Natural language processing (Computer science) 
650 2 |a Natural Language Processing 
650 6 |a Traitement automatique des langues naturelles. 
650 7 |a COMPUTERS / Natural Language Processing.  |2 bisacsh 
650 7 |a Natural language processing (Computer science)  |2 fast 
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