Vendeur : ThriftBooks-Dallas, Dallas, TX, Etats-Unis
EUR 8,07
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Ajouter au panierPaperback. Etat : Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.22.
Vendeur : ThriftBooks-Dallas, Dallas, TX, Etats-Unis
EUR 8,07
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Ajouter au panierPaperback. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.22.
Vendeur : WeBuyBooks, Rossendale, LANCS, Royaume-Uni
EUR 20,42
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Ajouter au panierEtat : Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
EUR 8,01
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Ajouter au panierEtat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Vendeur : Studibuch, Stuttgart, Allemagne
EUR 25,99
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Ajouter au panierpaperback. Etat : Gut. 310 Seiten; 9781491963043.3 Gewicht in Gramm: 1.
EUR 47,36
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
EUR 42,94
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Vendeur : LiLi - La Liberté des Livres, CANEJAN, France
EUR 43,84
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Ajouter au panierEtat : very good. edition 2018. l'article peut presenter de tres legers signes d'usure, petites rayures ou imperfections esthetiques. vendeur professionnel; envoi soigne en 24/48h.
EUR 43,73
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Ajouter au panierEtat : NEW.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 48,47
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Ajouter au panierEtat : New. In.
Edité par O?Reilly Media, Inc, USA, 2018
ISBN 10 : 1491963042 ISBN 13 : 9781491963043
Langue: anglais
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
EUR 53,84
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. This practical guide shows programmers and data scientists who have an intermediate-level understanding of Python and a basic understanding of machine learning and natural language processing how to become more proficient in these two exciting areas of data science. Num Pages: 250 pages. BIC Classification: UN. Category: (P) Professional & Vocational. Dimension: 250 x 150 x 15. Weight in Grams: 666. . 2018. 1st Edition. Paperback. . . . .
EUR 46,41
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Ajouter au panierPaperback. Etat : New.
Edité par O'Reilly Media, Inc, USA, 2018
ISBN 10 : 1491963042 ISBN 13 : 9781491963043
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 50,09
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 726.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 42,93
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Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 44,80
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Ajouter au panierEtat : New.
EUR 59,51
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : New. From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist's approach to building language-aware products with applied machine learning. You'll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you'll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 45,14
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 48,55
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Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 64,96
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : New. From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist's approach to building language-aware products with applied machine learning. You'll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you'll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 50,25
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par O Reilly Media, Inc, USA, 2018
ISBN 10 : 1491963042 ISBN 13 : 9781491963043
Langue: anglais
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 66,35
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. This practical guide shows programmers and data scientists who have an intermediate-level understanding of Python and a basic understanding of machine learning and natural language processing how to become more proficient in these two exciting areas of data science. Num Pages: 250 pages. BIC Classification: UN. Category: (P) Professional & Vocational. Dimension: 250 x 150 x 15. Weight in Grams: 666. . 2018. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 50,88
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Edité par O'Reilly Media 7/6/2018, 2018
ISBN 10 : 1491963042 ISBN 13 : 9781491963043
Langue: anglais
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 58,11
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierPaperback or Softback. Etat : New. Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning 1.1. Book.
EUR 67,80
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : New. From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist's approach to building language-aware products with applied machine learning. You'll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you'll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity.
EUR 57,74
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. This practical book presents a data scientist s approach to building language-aware products with applied machine learning.Über den AutorrnrnBenjamin Bengfort is a Data Scientist who lives inside the beltway but ignores politics.
Vendeur : Goodwill Books, Hillsboro, OR, Etats-Unis
EUR 4,51
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : Acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.
EUR 68,51
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : New. From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist's approach to building language-aware products with applied machine learning. You'll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you'll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity.
Vendeur : Dream Books Co., Denver, CO, Etats-Unis
EUR 8,02
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : 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!
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 68,49
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Edité par O'reilly Media Jul 2018, 2018
ISBN 10 : 1491963042 ISBN 13 : 9781491963043
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 67,03
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware - This practical book presents a data scientist's approach to building language-aware products with applied machine learning.