Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 7,86
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Añadir al carritoPaperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 7,86
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Añadir al carritoPaperback. Condición: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.22.
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 7,86
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Añadir al carritoPaperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.22.
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 7,86
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Añadir al carritoPaperback. Condición: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.22.
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 7,86
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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.22.
Librería: medimops, Berlin, Alemania
EUR 15,98
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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 16,30
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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.
Librería: medimops, Berlin, Alemania
EUR 17,58
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Añadir al carritoCondición: as new. Wie neu/Like new.
Librería: Studibuch, Stuttgart, Alemania
EUR 16,75
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Añadir al carritopaperback. Condición: Gut. 310 Seiten; 9781491963043.3 Gewicht in Gramm: 1.
EUR 42,50
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: LiLi - La Liberté des Livres, CANEJAN, Francia
EUR 35,07
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Añadir al carritoCondición: 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.
Librería: GoldBooks, Denver, CO, Estados Unidos de America
EUR 23,64
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Añadir al carritoCondición: new.
EUR 43,28
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Añadir al carritoCondición: NEW.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 47,98
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Añadir al carritoCondición: New. In.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 37,45
Convertir monedaCantidad disponible: 5 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 39,24
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por O?Reilly Media, Inc, USA, 2018
ISBN 10: 1491963042 ISBN 13: 9781491963043
Idioma: Inglés
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 53,84
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Añadir al carritoCondición: 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. . . . .
Publicado por O'Reilly Media, Inc, USA, 2018
ISBN 10: 1491963042 ISBN 13: 9781491963043
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 50,39
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 726.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 42,49
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Añadir al carritoCondición: New.
EUR 58,90
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Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 43,95
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Añadir al carritoCondición: 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.
EUR 45,93
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Añadir al carritoPaperback. Condición: New.
EUR 63,72
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Añadir al carritoPaperback. Condición: 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.
Publicado por O Reilly Media, Inc, USA, 2018
ISBN 10: 1491963042 ISBN 13: 9781491963043
Idioma: Inglés
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 64,59
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Añadir al carritoCondición: 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 49,78
Convertir monedaCantidad disponible: 5 disponibles
Añadir al carritoCondición: 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 49,69
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por O'Reilly Media 7/6/2018, 2018
ISBN 10: 1491963042 ISBN 13: 9781491963043
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 56,57
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Añadir al carritoPaperback or Softback. Condición: New. Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning. Book.
EUR 66,15
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: Goodwill Books, Hillsboro, OR, Estados Unidos de America
EUR 4,36
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Añadir al carritoCondición: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 68,15
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Añadir al carritoPaperback. Condición: 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.