Librería: medimops, Berlin, Alemania
EUR 48,64
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Añadir al carritoCondición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Librería: medimops, Berlin, Alemania
EUR 52,25
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Añadir al carritoCondición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
EUR 50,71
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Publicado por O'Reilly Media 7/7/2020, 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 51,09
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Añadir al carritoPaperback or Softback. Condición: New. Practical Natural Language Processing: A Comprehensive Guide to Building Real-World Nlp Systems 1.59. Book.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 56,77
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 59,42
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Añadir al carritoPaperback. Condición: New. Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey.Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.With this book, you'll:Understand the wide spectrum of problem statements, tasks, and solution approaches within NLPImplement and evaluate different NLP applications using machine learning and deep learning methodsFine-tune your NLP solution based on your business problem and industry verticalEvaluate various algorithms and approaches for NLP product tasks, datasets, and stagesProduce software solutions following best practices around release, deployment, and DevOps for NLP systemsUnderstand best practices, opportunities, and the roadmap for NLP from a business and product leader's perspective.
Publicado por Sebastopol, California: O'Reilly Media, Inc., 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Idioma: Inglés
Librería: Time Tested Books, Sacramento, CA, Estados Unidos de America
Original o primera edición
EUR 39,51
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Añadir al carritoSoft cover. Condición: Near Fine. No Jacket. 1st Edition. "June 2020: First Edition" and "Revision History For First Edition 2020-06-17: First edition" stated. Near fine plus, if not fine wraps/paperback. Only trivial signs of age/wear/previous use.
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 61,18
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Añadir al carritoPaperback. Condición: New. Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey.Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.With this book, you'll:Understand the wide spectrum of problem statements, tasks, and solution approaches within NLPImplement and evaluate different NLP applications using machine learning and deep learning methodsFine-tune your NLP solution based on your business problem and industry verticalEvaluate various algorithms and approaches for NLP product tasks, datasets, and stagesProduce software solutions following best practices around release, deployment, and DevOps for NLP systemsUnderstand best practices, opportunities, and the roadmap for NLP from a business and product leader's perspective.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 57,95
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 48,76
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 63,92
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Añadir al carritoCondición: New. 2020. Paperback. . . . . .
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 50,30
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 53,56
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 46,83
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Publicado por O'Reilly Media, Inc. 2020-06-30, 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 55,44
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Añadir al carritoPaperback. Condición: New.
EUR 72,86
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoPaperback. Condición: New. Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey.Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.With this book, you'll:Understand the wide spectrum of problem statements, tasks, and solution approaches within NLPImplement and evaluate different NLP applications using machine learning and deep learning methodsFine-tune your NLP solution based on your business problem and industry verticalEvaluate various algorithms and approaches for NLP product tasks, datasets, and stagesProduce software solutions following best practices around release, deployment, and DevOps for NLP systemsUnderstand best practices, opportunities, and the roadmap for NLP from a business and product leader's perspective.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 58,59
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 68,49
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 78,42
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Añadir al carritoCondición: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
Publicado por O'Reilly Media, United States, Sebastopol, 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Idioma: Inglés
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 74,41
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Añadir al carritoPaperback. Condición: Very Good. Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. Youll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, youll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leaders perspective. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
EUR 78,91
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Añadir al carritoPaperback. Condición: New. Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey.Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.With this book, you'll:Understand the wide spectrum of problem statements, tasks, and solution approaches within NLPImplement and evaluate different NLP applications using machine learning and deep learning methodsFine-tune your NLP solution based on your business problem and industry verticalEvaluate various algorithms and approaches for NLP product tasks, datasets, and stagesProduce software solutions following best practices around release, deployment, and DevOps for NLP systemsUnderstand best practices, opportunities, and the roadmap for NLP from a business and product leader's perspective.
Publicado por O'reilly Media Jul 2020, 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 69,18
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Building systems that can process and understand human language is supported in this manual. Advises on the evaluation of algorithms and the application of machine learning.
Librería: Dream Books Co., Denver, CO, Estados Unidos de America
EUR 21,56
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Añadir al carritoCondición: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 79,24
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Publicado por Oreilly & Associates Inc, 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 79,13
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Añadir al carritoPaperback. Condición: Brand New. 375 pages. 9.50x7.00x1.00 inches. In Stock.
Publicado por O'Reilly Media (edition 1), 2020
ISBN 10: 1492054054 ISBN 13: 9781492054054
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 27,41
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Añadir al carritoPaperback. Condición: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 79,82
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Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 18,06
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Añadir al carritopaperback. Condición: Good. 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!
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 51,17
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Librería: HPB Inc., Dallas, TX, Estados Unidos de America
EUR 22,82
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Añadir al carritopaperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!