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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
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Añadir al carritoPaperback. Condición: New. If you want to build an enterprise-quality application that uses natural language text but aren't sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library.Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. You'll also explore special concerns for developing text-based applications, such as performance.In four sections, you'll learn NLP basics and building blocks before diving into application and system building:Basics: Understand the fundamentals of natural language processing, NLP on Apache Stark, and deep learningBuilding blocks: Learn techniques for building NLP applications-including tokenization, sentence segmentation, and named-entity recognition-and discover how and why they workApplications: Explore the design, development, and experimentation process for building your own NLP applicationsBuilding NLP systems: Consider options for productionizing and deploying NLP models, including which human languages to support.
Publicado por O'Reilly Media 7/14/2020, 2020
ISBN 10: 1492047767 ISBN 13: 9781492047766
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 50,93
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Añadir al carritoPaperback or Softback. Condición: New. Natural Language Processing with Spark Nlp: Learning to Understand Text at Scale 1.28. Book.
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 59,96
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Añadir al carritoPaperback. Condición: New. If you want to build an enterprise-quality application that uses natural language text but aren't sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library.Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. You'll also explore special concerns for developing text-based applications, such as performance.In four sections, you'll learn NLP basics and building blocks before diving into application and system building:Basics: Understand the fundamentals of natural language processing, NLP on Apache Stark, and deep learningBuilding blocks: Learn techniques for building NLP applications-including tokenization, sentence segmentation, and named-entity recognition-and discover how and why they workApplications: Explore the design, development, and experimentation process for building your own NLP applicationsBuilding NLP systems: Consider options for productionizing and deploying NLP models, including which human languages to support.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 57,93
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Publicado por O'Reilly Media, Inc, USA, 2020
ISBN 10: 1492047767 ISBN 13: 9781492047766
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 57,30
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 584.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 55,91
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: moluna, Greven, Alemania
EUR 56,71
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Añadir al carritoCondición: New. If you want to build an enterprise-quality application that uses natural language text but aren t sure where to begin or what tools to use, this practical guide will help get you started.Über den AutorrnrnAlex Thomas is a data s.
EUR 76,92
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Añadir al carritoPaperback. Condición: New. If you want to build an enterprise-quality application that uses natural language text but aren't sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library.Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. You'll also explore special concerns for developing text-based applications, such as performance.In four sections, you'll learn NLP basics and building blocks before diving into application and system building:Basics: Understand the fundamentals of natural language processing, NLP on Apache Stark, and deep learningBuilding blocks: Learn techniques for building NLP applications-including tokenization, sentence segmentation, and named-entity recognition-and discover how and why they workApplications: Explore the design, development, and experimentation process for building your own NLP applicationsBuilding NLP systems: Consider options for productionizing and deploying NLP models, including which human languages to support.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 76,30
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Publicado por O'reilly Media Aug 2020, 2020
ISBN 10: 1492047767 ISBN 13: 9781492047766
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 70,25
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - If you want to build an enterprise-quality application that uses natural language text but aren't sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library. Through concrete examples, pratical and theoretical explanations, and hads-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basics linguistics and writing systems to sentiment analysis and search engines. You'll also explore special concerns for developging text-based applications, such as performance.
EUR 82,89
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Añadir al carritoPaperback. Condición: New. If you want to build an enterprise-quality application that uses natural language text but aren't sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library.Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. You'll also explore special concerns for developing text-based applications, such as performance.In four sections, you'll learn NLP basics and building blocks before diving into application and system building:Basics: Understand the fundamentals of natural language processing, NLP on Apache Stark, and deep learningBuilding blocks: Learn techniques for building NLP applications-including tokenization, sentence segmentation, and named-entity recognition-and discover how and why they workApplications: Explore the design, development, and experimentation process for building your own NLP applicationsBuilding NLP systems: Consider options for productionizing and deploying NLP models, including which human languages to support.
Publicado por Oreilly & Associates Inc, 2020
ISBN 10: 1492047767 ISBN 13: 9781492047766
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 77,39
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Añadir al carritoPaperback. Condición: Brand New. 347 pages. 8.75x6.75x0.75 inches. In Stock.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Publicado por China Electric Power Press, 2022
ISBN 10: 7519869679 ISBN 13: 9787519869670
Idioma: Chino
Librería: liu xing, Nanjing, JS, China
EUR 139,84
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Añadir al carritopaperback. Condición: New. Paperback. Pub Date: 2022-09-01 Pages: 404 Publisher: China Electric Power Publishing House This book introduces NLP basics and building blocks. and then delves into applications and system construction. ? Fundamentals: Learn the fundamentals of Natural Language Processing. NLP on Apache Spark. and Deep Learning. ? Building Blocks: Learn techniques for building NLP applications. including tokenization. sentence segmentation. and named entity recognition. and understand how and why they work. .