Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 40,00
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Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
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Da: California Books, Miami, FL, U.S.A.
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Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Editore: Cambridge University Press 2/8/2024, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Deep Learning for Natural Language Processing: A Gentle Introduction 1.01. Book.
Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 45,34
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Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
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EUR 38,27
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Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 41,16
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Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 42,91
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Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 55,01
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 342 pages. 9.00x6.00x0.72 inches. In Stock.
Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 59,71
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - A clear, accessible introduction to deep learning for natural language processing (NLP), this book is ideal for readers without a background in machine learning and NLP. It covers the necessary theoretical context using minimal jargon also covers practical aspects, using actual Python code for the neural architectures discussed.
Editore: Cambridge University Press, Cambridge, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 47,04
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems. A clear, accessible introduction to deep learning for natural language processing (NLP), this book is ideal for readers without a background in machine learning and NLP. It covers the necessary theoretical context using minimal jargon also covers practical aspects, using actual Python code for the neural architectures discussed. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, 2024
ISBN 10: 1316515664 ISBN 13: 9781316515662
Lingua: Inglese
Da: Books From California, Simi Valley, CA, U.S.A.
EUR 82,72
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Aggiungi al carrellohardcover. Condizione: Fine.
Editore: Cambridge University Press, Cambridge, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 63,29
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems. A clear, accessible introduction to deep learning for natural language processing (NLP), this book is ideal for readers without a background in machine learning and NLP. It covers the necessary theoretical context using minimal jargon also covers practical aspects, using actual Python code for the neural architectures discussed. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: SGS Trading Inc, Franklin Lakes, NJ, U.S.A.
EUR 80,11
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Aggiungi al carrellopaperback. Condizione: Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking.
Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: SGS Trading Inc, Franklin Lakes, NJ, U.S.A.
EUR 83,23
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Aggiungi al carrellopaperback. Condizione: New. New Textbook, Ships with Tracking.
Editore: Cambridge University Press, Cambridge, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 47,79
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems. A clear, accessible introduction to deep learning for natural language processing (NLP), this book is ideal for readers without a background in machine learning and NLP. It covers the necessary theoretical context using minimal jargon also covers practical aspects, using actual Python code for the neural architectures discussed. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2024
ISBN 10: 1316515664 ISBN 13: 9781316515662
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 109,47
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2024
ISBN 10: 1316515664 ISBN 13: 9781316515662
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 118,74
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Editore: Cambridge University Press, 2024
ISBN 10: 1316515664 ISBN 13: 9781316515662
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 119,32
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Editore: Cambridge University Press, 2024
ISBN 10: 1009012657 ISBN 13: 9781009012652
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
EUR 34,35
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Editore: Cambridge University Press, 2024
ISBN 10: 1316515664 ISBN 13: 9781316515662
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 117,02
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Editore: Cambridge University Press, 2024
ISBN 10: 1316515664 ISBN 13: 9781316515662
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 119,31
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Editore: Cambridge University Press, 2024
ISBN 10: 1316515664 ISBN 13: 9781316515662
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 133,18
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Editore: Cambridge University Press, 2024
ISBN 10: 1316515664 ISBN 13: 9781316515662
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 124,25
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Editore: Cambridge University Press, 2024
ISBN 10: 1316515664 ISBN 13: 9781316515662
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 135,86
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Editore: Cambridge University Press, Cambridge, 2024
ISBN 10: 1316515664 ISBN 13: 9781316515662
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 119,50
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems. A clear, accessible introduction to deep learning for natural language processing (NLP), this book is ideal for readers without a background in machine learning and NLP. It covers the necessary theoretical context using minimal jargon also covers practical aspects, using actual Python code for the neural architectures discussed. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Cambridge University Press, Cambridge, 2024
ISBN 10: 1316515664 ISBN 13: 9781316515662
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 125,87
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems. A clear, accessible introduction to deep learning for natural language processing (NLP), this book is ideal for readers without a background in machine learning and NLP. It covers the necessary theoretical context using minimal jargon also covers practical aspects, using actual Python code for the neural architectures discussed. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 162,74
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Aggiungi al carrelloHardcover. Condizione: Brand New. 342 pages. 9.00x6.00x0.81 inches. In Stock.