paperback. Condizione: 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!
Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Editore: Manning Publications Co. LLC, 2022
ISBN 10: 1617295442 ISBN 13: 9781617295447
Lingua: Inglese
Da: Better World Books: West, Reno, NV, U.S.A.
Condizione: Good. Used book that is in clean, average condition without any missing pages.
paperback. Condizione: As New. Book is in excellent condition, text is unmarked and pages are tight.
EUR 38,41
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Paperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
EUR 39,13
Quantità: 15 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 45,04
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 42,85
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 45,20
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread copy in mint condition.
Condizione: New. First Edition NO-PA16APR2015-KAP.
Editore: Manning Publications, New York, 2022
ISBN 10: 1617295442 ISBN 13: 9781617295447
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Key features An overview of NLP and deep learning Models for textual similarity Deep memory-based NLP Semantic role labeling Sequential NLP Audience For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required. About the technology Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. Hes the technical coordinator of two large European Union-funded research security-related projects. Hes currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 47,88
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
EUR 39,11
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
EUR 42,41
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. In.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Paperback. Condizione: New. Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Key features An overview of NLP and deep learning . Models for textual similarity . Deep memory-based NLP . Semantic role labeling . Sequential NLP Audience For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required. About the technology Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He's the technical coordinator of two large European Union-funded research security-related projects. He's currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university.
EUR 47,43
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 325 pages. 9.25x7.50x0.50 inches. In Stock.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
EUR 49,30
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
EUR 47,56
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 3 working days.
EUR 64,28
Quantità: 20 disponibili
Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
EUR 64,28
Quantità: 1 disponibili
Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 53,32
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2022. 1st Edition. Paperback. . . . . .
Condizione: New. 2022. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
EUR 62,44
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 76,90
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 325 pages. 9.25x7.50x0.50 inches. In Stock.
Paperback. Condizione: New. Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Key features An overview of NLP and deep learning . Models for textual similarity . Deep memory-based NLP . Semantic role labeling . Sequential NLP Audience For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required. About the technology Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He's the technical coordinator of two large European Union-funded research security-related projects. He's currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university.
Editore: Pearson Deutschland GmbH|Manning Publications, 2022
ISBN 10: 1617295442 ISBN 13: 9781617295447
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 52,87
Quantità: 1 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results.
Editore: Manning Publications, New York, 2022
ISBN 10: 1617295442 ISBN 13: 9781617295447
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 77,32
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Key features An overview of NLP and deep learning Models for textual similarity Deep memory-based NLP Semantic role labeling Sequential NLP Audience For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required. About the technology Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. Hes the technical coordinator of two large European Union-funded research security-related projects. Hes currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.