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Natural Language Processing

- A Machine Learning Perspective
Af: Yue Zhang, Zhiyang Teng Engelsk Hardback

Natural Language Processing

- A Machine Learning Perspective
Af: Yue Zhang, Zhiyang Teng Engelsk Hardback
Tjek vores konkurrenters priser
With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
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Tjek vores konkurrenters priser
Normalpris
kr 602
Fragt: 39 kr
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20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser
With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
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Produktdetaljer
Sprog: Engelsk
Sider: 484
ISBN-13: 9781108420211
Indbinding: Hardback
Udgave:
ISBN-10: 1108420214
Kategori: Naturligt sprog og maskinoversættelse
Udg. Dato: 7 jan 2021
Længde: 28mm
Bredde: 253mm
Højde: 196mm
Forlag: Cambridge University Press
Oplagsdato: 7 jan 2021
Forfatter(e): Yue Zhang, Zhiyang Teng
Forfatter(e) Yue Zhang, Zhiyang Teng

Kategori Naturligt sprog og maskinoversættelse

ISBN-13 9781108420211

Sprog Engelsk

Indbinding Hardback

Sider 484

Udgave

Længde 28mm

Bredde 253mm

Højde 196mm

Udg. Dato 7 jan 2021

Oplagsdato 7 jan 2021

Forlag Cambridge University Press

Kategori sammenhænge