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Ajouter au panierEtat : acceptable. The book is complete and readable, with all pages and cover intact. Dust jacket, shrink wrap, or boxed set case may be missing. Pages may have light notes, highlighting, or minor water exposure, but nothing that affects readability. May be an ex-library copy and could include library markings or stickers.
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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.
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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.
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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.
Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
Edition originale
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Ajouter au panierpaperback. Etat : Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Ajouter au panierpaperback. Etat : 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!
Vendeur : GoldBooks, Denver, CO, Etats-Unis
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Ajouter au panierEtat : new.
EUR 42,45
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 47,80
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Ajouter au panierEtat : new.
Langue: anglais
Edité par O'Reilly Media, Sebastopol, 2018
ISBN 10 : 1491963042 ISBN 13 : 9781491963043
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 55,15
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Ajouter au panierPaperback. Etat : new. Paperback. 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" This practical book presents a data scientists approach to building language-aware products with applied machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par O'Reilly Media 7/6/2018, 2018
ISBN 10 : 1491963042 ISBN 13 : 9781491963043
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 55,92
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Ajouter au panierPaperback or Softback. Etat : New. Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning. Book.
EUR 56,30
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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 59,43
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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 42,43
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Ajouter au panierEtat : New.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 58,22
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Ajouter au panierEtat : New.
EUR 45,90
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Ajouter au panierPaperback. Etat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 48,14
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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par O?Reilly Media, Inc, USA, 2018
ISBN 10 : 1491963042 ISBN 13 : 9781491963043
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
EUR 53,66
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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. . . . .
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 65,92
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Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 49,89
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par O'Reilly Media, Inc, USA, 2018
ISBN 10 : 1491963042 ISBN 13 : 9781491963043
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 50,76
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
Langue: anglais
Edité par O Reilly Media, Inc, USA, 2018
ISBN 10 : 1491963042 ISBN 13 : 9781491963043
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 64,92
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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.
EUR 43,25
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Ajouter au panierEtat : NEW.
Vendeur : LiLi - La Liberté des Livres, CANEJAN, France
EUR 28,40
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Ajouter au panierEtat : fine. edition 2018. l'article peut presenter de tres legers signes d'usure, petites rayures ou imperfections esthetiques. vendeur professionnel; envoi soigne en 24/48h.
Langue: anglais
Edité par Oreilly & Associates Inc, 2018
ISBN 10 : 1491963042 ISBN 13 : 9781491963043
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 87,82
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Ajouter au panierPaperback. Etat : Brand New. 250 pages. 9.25x7.25x0.75 inches. In Stock.
EUR 60,95
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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
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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.
Langue: anglais
Edité par O'Reilly Media, Sebastopol, 2018
ISBN 10 : 1491963042 ISBN 13 : 9781491963043
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 88,08
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Ajouter au panierPaperback. Etat : new. Paperback. 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" This practical book presents a data scientists approach to building language-aware products with applied machine learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.