Natural Language Processing Spark by Thomas Alex (16 results)

- Softcover
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- Softcover
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- Softcover
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- Softcover
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Paperback or Softback. Condition: New. Natural Language Processing with Spark Nlp: Learning to Understand Text at Scale. Book.

- Softcover
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Paperback. Condition: 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 scalab…le 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.

- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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- Softcover
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- Softcover
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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- Softcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New. 2020. Paperback. . . . . .

- Softcover
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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Paperback. Condition: 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 scalab…le 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.

- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: 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.

- Softcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condition: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.

- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: 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, 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 learning- Building blocks: Learn techniques for building NLP applicationsincluding tokenization, sentence segmentation, and named-entity recognitionand discover how and why they work- Applications: Explore the design, development, and experimentation process for building your own NLP applications- Building NLP systems: Consider options for productionizing and deploying NLP models, including which human languages to support.

- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
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paperback. Condition: 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 Dee…p Learning. ? Building Blocks: Learn techniques for building NLP applications. including tokenization. sentence segmentation. and named entity recognition. and understand how and why they work. .