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  1. Python programming for linguistics and digital humanities
    applications for text-focused fields
    Autor*in: Weisser, Martin
    Erschienen: [2024]; © 2024
    Verlag:  Wiley Blackwell, Hoboken, New Jersey

    "Programming has become an essential skill for linguists and linguistics students in all subfields of linguistics, but as many students enter linguistics programs with little prior experience, programming has become one of the most notable skills... mehr

    Universitätsbibliothek Augsburg
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Universitätsbibliothek der LMU München
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Universitätsbibliothek Passau
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Universitätsbibliothek Würzburg
    uneingeschränkte Fernleihe, Kopie und Ausleihe

     

    "Programming has become an essential skill for linguists and linguistics students in all subfields of linguistics, but as many students enter linguistics programs with little prior experience, programming has become one of the most notable skills gaps for advancing linguistics students. Assuming no prior knowledge of programming or Python, Martin Weisser's Python Programing for Linguistics and Text-Focused Digital Humanities offers students a complete and comprehensive introduction to Python programming, carefully tailored to the project demands faced by students in the humanities and social sciences"

     

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    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    ISBN: 9781119907947
    RVK Klassifikation: AK 54515 ; ES 940 ; ST 250
    Schlagworte: Python (Computer program language); Computer programming; Computational linguistics; Germanistik; Digital Humanities; Python <Programmiersprache>; Linguistik; Programmierung
    Umfang: xii, 276 Seiten, Illustrationen, Diagramme, 26 cm
    Bemerkung(en):

    Auf dem Cover: "With website"

  2. Python programming for linguistics and digital humanities
    applications for text-focused fields
    Autor*in: Weisser, Martin
    Erschienen: [2024]; © 2024
    Verlag:  Wiley Blackwell, Hoboken, New Jersey

    "Programming has become an essential skill for linguists and linguistics students in all subfields of linguistics, but as many students enter linguistics programs with little prior experience, programming has become one of the most notable skills... mehr

    Freie Universität Berlin, Universitätsbibliothek
    uneingeschränkte Fernleihe, Kopie und Ausleihe

     

    "Programming has become an essential skill for linguists and linguistics students in all subfields of linguistics, but as many students enter linguistics programs with little prior experience, programming has become one of the most notable skills gaps for advancing linguistics students. Assuming no prior knowledge of programming or Python, Martin Weisser's Python Programing for Linguistics and Text-Focused Digital Humanities offers students a complete and comprehensive introduction to Python programming, carefully tailored to the project demands faced by students in the humanities and social sciences"

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Quelle: Philologische Bibliothek, FU Berlin
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    ISBN: 9781119907947
    RVK Klassifikation: AK 54515 ; ES 940 ; ST 250
    Schlagworte: Python (Computer program language); Computer programming; Computational linguistics; Germanistik; Digital Humanities; Python <Programmiersprache>; Linguistik; Programmierung
    Umfang: xii, 276 Seiten, Illustrationen, Diagramme, 26 cm
    Bemerkung(en):

    Auf dem Cover: "With website"

  3. Child labor in social media:
    exploring a decade ofYouTube data
    Erschienen: May 2024
    Verlag:  IUJ Research Institute, International University of Japan, [Niigata-ken]

    Zugang:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    VS 816
    keine Fernleihe
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Economics & management series / International University of Japan ; EMS-2024, 04
    Schlagworte: Child labor; YouTube; Python; Sustainability; multinational
    Umfang: 1 Online-Ressource (circa 27 Seiten), Illustrationen
  4. A hands-on machine learning primer for social scientists
    math, algorithms and code
    Autor*in: Askitas, Nikos
    Erschienen: May 2024
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the... mehr

    Zugang:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 4
    keine Fernleihe

     

    This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your way up to any other estimator," and apply it to Machine Learning. Focusing on a single-hidden-layer artificial neural network, the paper discusses its mathematical underpinnings, including the pivotal Universal Approximation Theorem - an essential "existence theorem". The exposition extends to the algorithmic exploration of solutions, specifically through "feed forward" and "back-propagation", and rounds up with the practical implementation in Python. The objective of this primer is to equip readers with a solid elementary comprehension of first principles and fire some trailblazers to the forefront of AI and causal machine learning.

     

    Export in Literaturverwaltung   RIS-Format
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Discussion paper series / IZA ; no. 17014
    Schlagworte: machine learning; deep learning; supervised learning; artificial neural network; perceptron; Python; keras; tensorflow; universal approximation theorem
    Umfang: 1 Online-Ressource (circa 29 Seiten), Illustrationen