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Link zu diesem Datensatz | https://d-nb.info/1335286756 |
Titel | Python for Natural Language Processing : Programming with NumPy, scikit-learn, Keras, and PyTorch / by Pierre M. Nugues |
Person(en) | Nugues, Pierre M. (Verfasser) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 3rd ed. 2024 |
Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2024 |
Umfang/Format | Online-Ressource, XXV, 520 p. 89 illus., 53 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-57548-8 Printed edition:: ISBN: 978-3-031-57550-1 Printed edition:: ISBN: 978-3-031-57551-8 |
Inhalt | Preface to the third edition -- Preface to the second edition -- Preface to the first edition -- 1. An Overview of Language Processing -- 2. A Tour of Python -- 3. Corpus Processing Tools -- 4. Encoding and Annotation Scheme -- 5. Python for Numerical Computations -- 6. Topics in Information Theory and Machine Learning -- 7. Linear and Logistic Regression -- 8. Neural Networks -- 9. Counting and Indexing Words -- 10. Dense Vector Representations -- 11. Word Sequences -- 12. Words, Parts of Speech, and Morphology -- 13. Subword Segmentation -- 14. Part-of-Speech and Sequence Annotation -- 15. Self-Attention and Transformers -- 16. Pretraining an Encoder: The BERT Language Model -- 17. Sequence-to-Sequence Architectures: Encoder-Decoders and Decoders -- Index -- References |
Persistent Identifier |
URN: urn:nbn:de:101:1-2407110456340.034742677470 DOI: 10.1007/978-3-031-57549-5 |
URL | https://doi.org/10.1007/978-3-031-57549-5 |
ISBN/Einband/Preis | 978-3-031-57549-5 |
Sprache(n) | Englisch (eng) |
Beziehungen | Cognitive Technologies |
DDC-Notation | 006.35 (maschinell ermittelte DDC-Kurznotation) |
Sachgruppe(n) | 004 Informatik |
Online-Zugriff | Archivobjekt öffnen |
