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  1. Practical natural language processing
    a comprehensive guide to building real-world NLP systems
    Autor*in: Vajjala, Sowmya
    Erschienen: June 2020
    Verlag:  O'Reilly, Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo

    Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals,... mehr

    Standort:
    Technische Hochschule Brandenburg, Hochschulbibliothek
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Link zum Verbundkatalog:
    Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV)

     

    Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Beteiligt: Majumder, Bodhisattwa (Verfasser); Gupta, Anuj (Verfasser); Surana, Harshit (Verfasser)
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9781492054009
    RVK Klassifikation: CV 3500 ; ES 900 ; ST 306
    Auflage/Ausgabe: First edition
    Schlagworte: Python <Programmiersprache>; Sprachverarbeitung; Computerlinguistik
    Weitere Schlagworte: Natural language processing (Computer science); Application software / Development; Text data mining; Machine learning
    Umfang: 1 Online-Ressource (xxvii, 424 Seiten), Illustrationen, Diagramme
    Bemerkung(en):

    :
  2. Practical natural language processing
    a comprehensive guide to building real-world NLP systems
    Autor*in: Vajjala, Sowmya
    Erschienen: June 2020
    Verlag:  O'Reilly, Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo

    Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals,... mehr

    Standort:
    Universitätsbibliothek Regensburg
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Link zum Verbundkatalog:
    Bibliotheksverbund Bayern (BVB)

     

    Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Beteiligt: Majumder, Bodhisattwa (Verfasser); Gupta, Anuj (Verfasser); Surana, Harshit (Verfasser)
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9781492054009
    RVK Klassifikation: CV 3500 ; ES 900 ; ST 306
    Auflage/Ausgabe: First edition
    Schlagworte: Python <Programmiersprache>; Sprachverarbeitung; Computerlinguistik
    Weitere Schlagworte: Natural language processing (Computer science); Application software / Development; Text data mining; Machine learning
    Umfang: 1 Online-Ressource (xxvii, 424 Seiten), Illustrationen, Diagramme
    Bemerkung(en):

    :