Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 6,23
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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.
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 6,23
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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.
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 6,23
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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.
Librería: Goodwill Books, Hillsboro, OR, Estados Unidos de America
EUR 2,70
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Añadir al carritoCondición: good. Signs of wear and consistent use.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 4,44
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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: AwesomeBooks, Wallingford, Reino Unido
EUR 10,69
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Añadir al carritoPaperback. Condición: Very Good. Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Librería: Bahamut Media, Reading, Reino Unido
EUR 10,69
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Añadir al carritoPaperback. Condición: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Original o primera edición
EUR 15,88
Cantidad disponible: 9 disponibles
Añadir al carritopaperback. Condición: 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).
Librería: GoldBooks, Denver, CO, Estados Unidos de America
EUR 29,67
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Idioma: Inglés
Publicado por O'Reilly Media, United States, Sebastopol, 2018
ISBN 10: 1491963042 ISBN 13: 9781491963043
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 29,44
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Very Good. 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 scientists approach to building language-aware products with applied machine learning. Youll 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, youll 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 35,15
Cantidad disponible: 5 disponibles
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 39,41
Cantidad disponible: 5 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 44,18
Cantidad 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.
EUR 47,08
Cantidad disponible: 2 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 47,00
Cantidad disponible: 9 disponibles
Añadir al carritoCondición: new.
Idioma: Inglés
Publicado por O'Reilly Media, Sebastopol, 2018
ISBN 10: 1491963042 ISBN 13: 9781491963043
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 56,43
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por O'Reilly Media 7/6/2018, 2018
ISBN 10: 1491963042 ISBN 13: 9781491963043
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 57,23
Cantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning. Book.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 43,45
Cantidad disponible: 5 disponibles
Añadir al carritoCondición: New.
EUR 62,12
Cantidad disponible: 1 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: Ria Christie Collections, Uxbridge, Reino Unido
EUR 48,37
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New. In.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 59,58
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 46,13
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por O?Reilly Media, Inc, USA, 2018
ISBN 10: 1491963042 ISBN 13: 9781491963043
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 53,60
Cantidad disponible: 2 disponibles
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. . . . .
EUR 66,92
Cantidad 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: California Books, Miami, FL, Estados Unidos de America
EUR 67,45
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 50,83
Cantidad 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 50,93
Cantidad disponible: 5 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2018
ISBN 10: 1491963042 ISBN 13: 9781491963043
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 51,01
Cantidad disponible: 9 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por O Reilly Media, Inc, USA, 2018
ISBN 10: 1491963042 ISBN 13: 9781491963043
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 65,69
Cantidad disponible: 2 disponibles
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.
EUR 43,46
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: NEW.