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  • 2020-2024  (380)
  • 1930-1934  (28)
  • O'Reilly 〈Firm〉,  (260)
  • Grimm, Wilhelm
  • Lévi-Strauss, Claude
  • NetLibrary, Inc
Material
Language
Years
Year
  • 1
    Language: German
    Pages: 113 mm x 50 mm, 200 g
    Edition: Originaltext der Ausgabe letzter Hand, 1. Auflage (100 Exemplare)
    Uniform Title: Kinder- und Hausmärchen
    DDC: 390
    Keywords: Anthologie ; Künstlerbuch ; Kinderbuch ; Deutsch ; Märchen ; Buchkunst
    Note: Erschienen: 12 Mini-Heftchen im Schuber, exklusive Ausgabe mit Golddruck, künstlerischen Einbänden und goldenem Schmuckbändchen, Teilausgabe der Kinder- und Hausmärchen
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  • 2
    Language: German
    Series Statement: Suhrkamp Taschenbuch Wissenschaft ...
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  • 3
    Book
    Book
    Paris : Plon
    ISBN: 9782259210737
    Language: French
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    Keywords: Indianer ; Mythologie ; Strukturalismus
    Note: Erschienen: 1 - 4
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  • 4
    Language: German
    Series Statement: Suhrkamp-Taschenbuch Wissenschaft ...
    Uniform Title: Mythologiques 〈dt.〉
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    Keywords: Indianer ; Mythologie ; Strukturalismus
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  • 5
    Language: German
    Pages: 113 mm x 50 mm, 200 g
    Edition: Originaltext der Ausgabe letzter Hand, 1. Auflage (100 Exemplare)
    Uniform Title: Kinder- und Hausmärchen
    DDC: 390
    Keywords: Anthologie ; Künstlerbuch ; Kinderbuch ; Deutsch ; Märchen ; Buchkunst
    Note: Erschienen: 12 Mini-Heftchen im Schuber, exklusive Ausgabe mit Golddruck, künstlerischen Einbänden und goldenem Schmuckbändchen, Teilausgabe der Kinder- und Hausmärchen
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  • 6
    Book
    Book
    Paris : Plon
    Language: French
    RVK:
    Keywords: Anthropologie
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  • 7
    Language: German
    Uniform Title: Anthropologie structurale 〈dt.〉
    DDC: 572
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    Keywords: Structural anthropology ; Ethnology ; Ethnologie ; Strukturalismus
    Note: Bd. 2 übers. von Eva Moldenhauer
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  • 8
    Book
    Book
    New York [u.a.] : Harper & Row
    Language: English
    Series Statement: Harper torchbooks ...
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  • 9
    Language: German
    Pages: octavo
    Edition: Neue durchges. Ausg.
    Keywords: Anthologie ; Kinderbuch ; Anthologie ; Kinderbuch ; Deutsch ; Märchen
    Note: T. 1. 2
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  • 10
    Language: German
    Pages: 24 cm
    DDC: 398.2
    Keywords: Kinder- und Hausmärchen ; Fairy tales ; Germany ; Anthologie ; Kinder- und Hausmärchen ; Vergleichende Märchenforschung
    Note: Enth. Literaturangaben und Register
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  • 11
    Language: German
    Uniform Title: Anthropologie structurale 〈dt.〉
    DDC: 572
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    Keywords: Structural anthropology ; Ethnology ; Ethnologie ; Strukturalismus
    Note: Bd. 2 übers. von Eva Moldenhauer
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  • 12
    Book
    Book
    Frankfurt am Main : Suhrkamp-Taschenbuch-Verl.
    Language: German
    Series Statement: Suhrkamp-Taschenbuch Wissenschaft ...
    Uniform Title: Anthropologie structurale 〈dt.〉
    Keywords: Structural anthropology ; Ethnology ; Ethnologie ; Strukturalismus
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  • 13
    Language: German
    Series Statement: Suhrkamp-Taschenbuch Wissenschaft ...
    Uniform Title: Anthropologie structurale 〈dt.〉
    Keywords: Structural anthropology ; Ethnology ; Ethnologie ; Strukturalismus
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  • 14
    Language: German
    Series Statement: Suhrkamp Taschenbuch Wissenschaft ...
    Uniform Title: Anthropologie structurale 〈dt.〉
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    Keywords: Ethnologie ; Strukturalismus
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  • 15
    Language: German
    Uniform Title: Mythologique 〈dt.〉
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  • 16
    Language: German
    Parallel Title: Elektronische Reproduktion Grimm, Jacob, 1785 - 1863 Deutsches Wörterbuch
    DDC: 433
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    Keywords: German language ; Dictionaries ; German language - Dictionaries ; Wörterbuch ; Deutsch ; Grimm, Jacob 1785-1863 ; Grimm, Wilhelm 1786-1859 ; Deutschland ; Geschichte
    Abstract: Neubearbeitung
    Note: Quellen-Verz. im Verl. Huth, Göttingen, erschienen. - Quellen-Verz., photomechanischer Neudr. im Verl. Funk, Berlin, ersch.
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  • 17
    Language: German
    Series Statement: Hanser Anthropologie
    Uniform Title: Sociologie et anthropologie 〈dt.〉
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    Keywords: Anthropologie ; Völkerpsychologie ; Kultur ; Soziologie ; Anthropologie
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  • 18
    Language: German
    Series Statement: Suhrkamp Taschenbuch Wissenschaft ...
    Uniform Title: Anthropologie structurale 〈dt.〉
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    Keywords: Ethnologie ; Strukturalismus
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  • 19
    Language: French
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  • 20
    Book
    Book
    Hildesheim [u.a.] : Olms-Weidmann
    Language: German
    Additional Information: Rezension Kaiste, Jaanna [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Abt. 3, Gemeinsame Werke, Bd. 43-45] 2006
    Additional Information: Rezension Beck, Heinrich [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Abt. 1. Bd. 17-18] 1995
    Additional Information: Rezension Speer, Heino [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Abt. 1. Bd. 17-18] 1995
    Additional Information: Rezension Lecouteux, C. [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Bd. 17-18] 1994
    Additional Information: Rezensiert in Pöge-Alder, Kathrin, 1965 - [Rezension von: Grimm, Jacob, 1785-1863, Werke] 2006
    Former Title: Teilw. u.d.T. Grimm, Jacob: Sämtliche Werke
    Note: Nachdr. teilw. in der Reihe Documenta linguistica
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  • 21
    Language: German
    Additional Information: Rezension Kaiste, Jaanna [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Abt. 3, Gemeinsame Werke, Bd. 43-45] 2006
    Additional Information: Rezension Beck, Heinrich [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Abt. 1. Bd. 17-18] 1995
    Additional Information: Rezension Speer, Heino [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Abt. 1. Bd. 17-18] 1995
    Additional Information: Rezension Lecouteux, C. [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Bd. 17-18] 1994
    Additional Information: Rezensiert in Pöge-Alder, Kathrin, 1965 - [Rezension von: Grimm, Jacob, 1785-1863, Werke] 2006
    Former Title: Teilw. u.d.T. Grimm, Jacob: Sämtliche Werke
    Note: Nachdr. teilw. in der Reihe Documenta linguistica
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  • 22
    ISBN: 315030024X , 9783150300428 , 9783150300480
    Language: German
    Pages: 20 cm; (2001-2010): 17 cm
    Edition: Ausg. letzter Hand mit den Orig.-Anm. der Brüder Grimm
    Former Title: Gesamtausgabe
    DDC: 398.20943
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    Keywords: Anthologie ; Deutsch ; Märchen
    Note: Literaturangaben
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  • 23
    Book
    Book
    Paris : Plon
    Language: French
    Keywords: Structural anthropology ; Ethnology
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  • 24
    Language: German
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    Keywords: Kinder- und Hausmärchen ; Vergleichende Märchenforschung
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  • 25
    Book
    Book
    Frankfurt am Main : Suhrkamp-Taschenbuch-Verl.
    Language: German
    Series Statement: Suhrkamp-Taschenbuch Wissenschaft ...
    Uniform Title: Anthropologie structurale 〈dt.〉
    Keywords: Structural anthropology ; Ethnology ; Ethnologie ; Strukturalismus
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  • 26
    ISBN: 315030024X , 9783150300428 , 9783150300480
    Language: German
    Pages: 20 cm; (2001-2010): 17 cm
    Edition: Ausg. letzter Hand mit den Orig.-Anm. der Brüder Grimm
    Former Title: Gesamtausgabe
    DDC: 398.20943
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    Keywords: Anthologie ; Deutsch ; Märchen
    Note: Literaturangaben
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  • 27
    Book
    Book
    Chicago : Univ. of Chicago Press
    Language: English
    Keywords: Structural anthropology ; Ethnology
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  • 28
    Language: French
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  • 29
    Language: German
    Edition: Große Ausg.
    Parallel Title: Online-Ausg. Kinder- und Hausmärchen
    Parallel Title: Elektronische Reproduktion Kinder- und Hausmärchen
    Parallel Title: Elektronische Reproduktion Kinder und Hausmärchen.
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
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  • 30
    Language: German
    Edition: Große Ausg.
    Parallel Title: Online-Ausg. Kinder- und Hausmärchen
    Parallel Title: Elektronische Reproduktion Kinder- und Hausmärchen
    Parallel Title: Elektronische Reproduktion Kinder und Hausmärchen.
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
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  • 31
    Language: German
    Pages:
    Parallel Title: Elektronische Reproduktion Kinder- und Haus-Märchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
    Note: In Fraktur
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  • 32
    Language: German
    Pages:
    Parallel Title: Elektronische Reproduktion Kinder- und Haus-Märchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
    Note: In Fraktur
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  • 33
    Book
    Book
    Frankfurt : Suhrkamp
    Language: German
    Series Statement: Suhrkamp Taschenbuch ...
    Series Statement: Wissenschaft
    Uniform Title: Mythologiques 〈dt.〉
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    Keywords: Anthropology ; Mythology ; Society, primitive ; Animal love ; Indianer ; Mythologie ; Strukturalismus ; Südamerika ; Aufsatzsammlung ; Indianer ; Kultur ; Nordamerika ; Indianer ; Ethnologie
    Abstract: Die vier Bände der Mythologica bieten eine einzigartige Enzyklopädie der Mythen Nord- und Südamerikas und die nach wie vor maßgebliche Einführung in die strukturale Mythenanalyse.
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  • 34
    ISBN: 3518077708 , 3518277707
    Language: German
    Series Statement: Mythologica / Claude Lévi-Strauss 4
    Series Statement: Suhrkamp-Taschenbuch Wissenschaft 170
    Uniform Title: L' homme nu 〈dt.〉
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    Abstract: Das großartige Opus der Mythologica ist mit dem vierten Band, Der nackte Mensch, abgeschlossen. Lévi-Strauss ist auf seinem Weg der fortschreitenden und immer wieder zurückgreifenden, vergleichenden und gleichsam spiralisierenden Analyse Hunderter von Indianermythen vom Süden in den Norden Amerikas gelangt, aber dieser vierte Band bringt nicht nur das Ende einer Reise, sondern auch ihre Vollendung: viele Fäden aus den ersten drei Bänden werden zusammengefasst und verknüpft, viele Versprechen eingelöst, viele Fragen überraschend gelöst, zumal in dem grandiosen Schlusskapitel »Finale«, wo Lévi-Strauss eine Art Fazit seiner Mythenforschung zieht.
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  • 35
    Book
    Book
    Frankfurt : Suhrkamp
    Language: German
    Series Statement: Suhrkamp Taschenbuch ...
    Series Statement: Wissenschaft
    Uniform Title: Mythologiques 〈dt.〉
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    Keywords: Anthropology ; Mythology ; Society, primitive ; Animal love ; Indianer ; Mythologie ; Strukturalismus ; Südamerika ; Aufsatzsammlung ; Indianer ; Kultur ; Nordamerika ; Indianer ; Ethnologie
    Abstract: Die vier Bände der Mythologica bieten eine einzigartige Enzyklopädie der Mythen Nord- und Südamerikas und die nach wie vor maßgebliche Einführung in die strukturale Mythenanalyse.
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  • 36
    Language: German
    Series Statement: Mythologica / Claude Lévi-Strauss 4
    Uniform Title: L' homme nu 〈dt.〉
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  • 37
    Language: French , English
    Series Statement: Studies in general anthropology 5
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    Keywords: Aufsatzsammlung ; Festschrift ; Ethnologie ; Strukturalismus ; Lévi-Strauss, Claude 1908-2009
    Note: Beitr. teilw. franz., teilw. engl. - Bibliogr. C. Lévi-Strauss S. [XV] - XXIII. - Festschrift Claude Lévi-Strauss , Erschienen: T. 1 (1970) bis t. 2 (1970)
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  • 38
    Language: German
    Pages: TIFF, Vers.6.0, 600 dpi, 1 bit (s/w), ITU group 4; Digitalisierungsvorlage: Primärausgabe
    Edition: Electronic. ed. Hildesheim [u.a.] Olms 2006 Olms online. Reprints. Sammlung zur Philosophie und deutschsprachigen Literatur des 16. bis 20. Jahrhunderts
    Edition: Göttingen GDZ
    Former Title: Teilw. u.d.T. Grimm, Jacob: Sämtliche Werke
    Note: Nachdr. teilw. in der Reihe Documenta linguistica , SUB Göttingen
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  • 39
    Book
    Book
    Chicago : Univ. of Chicago Press
    Show associated volumes/articles
    Language: English
    Keywords: Structural anthropology ; Ethnology
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  • 40
    Language: German
    Pages:
    Edition: Online-Ausgabe München Bayerische Staatsbibliothek 2022 1 Online-Ressource
    Parallel Title: Elektronische Reproduktion von Kinder- und Haus-Märchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
    Note: In Fraktur
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  • 41
    Language: German
    Edition: Große Ausgabe
    Edition: Online-Ausgabe München Bayerische Staatsbibliothek 2022 1 Online-Ressource
    Parallel Title: Elektronische Reproduktion von Kinder- und Hausmärchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
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  • 42
    Language: German
    Edition: Große Ausg.
    Edition: Online-Ausgabe Berlin Staatsbibliothek zu Berlin - Preußischer Kulturbesitz 2021 Historische Drucke digital
    Edition: Nachlass Grimm digital
    Parallel Title: Elektronische Reproduktion von Kinder- und Hausmärchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
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  • 43
    Language: German
    Parallel Title: Erscheint auch als Briefwechsel der Brüder Jacob und Wilhelm Grimm
    DDC: 398.2092243
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    Keywords: Grimm, Jacob Correspondence ; Grimm, Wilhelm Correspondence ; Grimm, Jacob Correspondence ; Grimm, Wilhelm Correspondence ; Philologists Correspondence ; Germany ; Philologists Correspondence ; Briefsammlung ; Grimm, Jacob 1785-1863 ; Grimm, Wilhelm 1786-1859 ; Grimm, Wilhelm 1786-1859 ; Grimm, Jacob 1785-1863
    Note: Enth. Briefe von Jacob und Wilhelm Grimm , Bd. 1. Briefwechsel zwischen Jacob und Wilhelm Grimm : T. 1. Text. T. 2. Zusätzliche Texte; Sagenkonkordanz. T. 3. Kommentar / verfasst und herausgegeben von Stephan Bialas-Pophanken , Bd. 2. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Karl Bartsch, Franz Pfeiffer und Gabriel Riedel , Bd. 3. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Gustav Hugo , Bd. 4. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Theodor Georg von Karajan, Wilhelm Wackernagel, Johann Hugo Wyttenbach und Julius Zacher , Bd. 5. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit den Verlegern des "Deutschen Wörterbuchs" Karl Reimer und Salomon Hirzel , Bd. 6. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Rudolf Hildebrand, Matthias Lexer und Karl Weigand , Bd. 7. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Gustav Freytag, Moriz Haupt, Heinrich Hoffmann von Fallersleben und Franz Joseph Mone , Bd. 8. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Johann Martin Lappenberg, Friedrich Lisch und Georg Waitz , Bd. 9. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit ihren älteren Verwandten , 1,1 (2001) -
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  • 44
    Language: German
    Parallel Title: Erscheint auch als Briefwechsel der Brüder Jacob und Wilhelm Grimm
    DDC: 398.2092243
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    Keywords: Grimm, Jacob Correspondence ; Grimm, Wilhelm Correspondence ; Grimm, Jacob Correspondence ; Grimm, Wilhelm Correspondence ; Philologists Correspondence ; Germany ; Philologists Correspondence ; Briefsammlung ; Grimm, Jacob 1785-1863 ; Grimm, Wilhelm 1786-1859 ; Grimm, Wilhelm 1786-1859 ; Grimm, Jacob 1785-1863
    Note: Enth. Briefe von Jacob und Wilhelm Grimm , Bd. 1. Briefwechsel zwischen Jacob und Wilhelm Grimm : T. 1. Text. T. 2. Zusätzliche Texte; Sagenkonkordanz. T. 3. Kommentar / verfasst und herausgegeben von Stephan Bialas-Pophanken , Bd. 2. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Karl Bartsch, Franz Pfeiffer und Gabriel Riedel , Bd. 3. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Gustav Hugo , Bd. 4. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Theodor Georg von Karajan, Wilhelm Wackernagel, Johann Hugo Wyttenbach und Julius Zacher , Bd. 5. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit den Verlegern des "Deutschen Wörterbuchs" Karl Reimer und Salomon Hirzel , Bd. 6. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Rudolf Hildebrand, Matthias Lexer und Karl Weigand , Bd. 7. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Gustav Freytag, Moriz Haupt, Heinrich Hoffmann von Fallersleben und Franz Joseph Mone , Bd. 8. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Johann Martin Lappenberg, Friedrich Lisch und Georg Waitz , Bd. 9. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit ihren älteren Verwandten , 1,1 (2001) -
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  • 45
    ISBN: 3150231914
    Language: German
    Pages: 15 cm
    Edition: Ausg. letzter Hand mit den Originalanmerkungen der Brüder Grimm
    Series Statement: (Reclams) Universal-Bibliothek ...
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    Keywords: Anthologie ; Märchen
    Note: Literaturangaben
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  • 46
    Online Resource
    Online Resource
    Berlin : bei G. Reimer
    Language: German
    Pages:
    Edition: Online-Ausgabe München Bayerische Staatsbibliothek 2022 1 Online-Ressource
    Parallel Title: Elektronische Reproduktion von Kinder- und Haus-Märchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
    Note: In Fraktur
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  • 47
    Online Resource
    Online Resource
    Göttingen : Dieterich
    Language: German
    Edition: Große Ausg.
    Edition: Online-Ausgabe Berlin Staatsbibliothek zu Berlin - Preußischer Kulturbesitz 2021 Historische Drucke digital
    Edition: Nachlass Grimm digital
    Parallel Title: Elektronische Reproduktion von Kinder- und Hausmärchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
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  • 48
    Language: German
    Edition: Große Ausgabe
    Edition: Online-Ausgabe München Bayerische Staatsbibliothek 2022 1 Online-Ressource
    Parallel Title: Elektronische Reproduktion von Kinder- und Hausmärchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
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  • 49
    Language: French , English
    Series Statement: Studies in general anthropology 5
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    Keywords: Aufsatzsammlung ; Festschrift ; Ethnologie ; Strukturalismus ; Lévi-Strauss, Claude 1908-2009
    Note: Beitr. teilw. franz., teilw. engl. - Bibliogr. C. Lévi-Strauss S. [XV] - XXIII. - Festschrift Claude Lévi-Strauss , Erschienen: T. 1 (1970) bis t. 2 (1970)
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  • 50
    Language: German
    Series Statement: Suhrkamp-Taschenbuch Wissenschaft ...
    Uniform Title: Mythologiques 〈dt.〉
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    Keywords: Indianer ; Mythologie ; Strukturalismus
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  • 51
    ISBN: 9782259210737
    Language: French
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    Keywords: Indianer ; Mythologie ; Strukturalismus
    Note: Erschienen: 1 - 4
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  • 52
    Language: French
    Keywords: Structural anthropology ; Ethnology
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  • 53
    Book
    Book
    Frankfurt am Main : Suhrkamp
    Language: German
    Uniform Title: Mythologiques 〈dt.〉
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    Keywords: Anthropology ; Mythology ; Society, primitive ; Animal love ; Indianer ; Mythologie ; Strukturalismus ; Südamerika ; Indianer ; Mythologie
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  • 54
    Language: German
    Pages: octavo
    Series Statement: Märchen der Weltliteratur ...
    Keywords: Anthologie ; Deutschland ; Märchen
    Note: In Fraktur
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  • 55
    Language: German
    Pages:
    Additional Information: Rezension Wardetzky, Kristin "Mit Überraschung bemerkt man die Verwandtschaft mit den Märchen anderer weit entfernter Völker" 2014
    Keywords: Kinder- und Hausmärchen ; Märchenforschung ; Lyrik ; Literatur ; Deutsch ; Prosa ; Kommentar ; Kinder- und Hausmärchen ; Märchenforschung ; Lyrik ; Literatur ; Deutsch ; Prosa
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  • 56
    Language: German
    Library Location Call Number Volume/Issue/Year Availability
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  • 57
    ISBN: 3424007358 , 3424007366
    Language: German
    Pages: 20 cm
    Series Statement: Die Märchen der Weltliteratur
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  • 58
    Language: German
    Pages: 24 cm
    Additional Information: Rezension Karbusicky, Vladimir [Rezension von: Volkslieder, aus der Handschriftensammlung der Universitätsbibliothek Marburg, Brüder Grimm. Hrsg. von Charlotte Oberfeld ..., Bd. 1 - 3. 1985-89] 1991
    Additional Information: Rezension Schade, Ernst [Rezension von: Volkslieder, aus der Handschriftensammlung der Universitätsbibliothek Marburg, Brüder Grimm. Hrsg. von Charlotte Oberfeld ..., Bd. 2 - 3. 1987-89] 1991
    Additional Information: Rezension Schenda, Rudolf [Rezension von: Volkslieder, aus der Handschriftensammlung der Universitätsbibliothek Marburg, Brüder Grimm. Hrsg. von Charlotte Oberfeld ..., Bd. 1 - 3 . 1985-89] 1990
    Keywords: Aufsatzsammlung ; Grimm, Jacob 1785-1863 ; Volkslied ; Grimm, Wilhelm 1786-1859 ; Volkslied
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  • 59
    Language: English
    Note: Aus d. Franz. übers
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  • 60
    Book
    Book
    Berlin : Kinderbuchverl.
    ISBN: 3358000923
    Language: German
    Pages: 16 cm
    Uniform Title: Kinder- und Hausmärchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen
    Note: Teilausg
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  • 61
    Language: German
    Uniform Title: Anthropologie structurale 〈dt.〉
    DDC: 572
    RVK:
    RVK:
    RVK:
    Keywords: Structural anthropology ; Ethnology ; Ethnologie ; Strukturalismus
    Note: Bd. 2 übers. von Eva Moldenhauer
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  • 62
    Language: German
    Uniform Title: Anthropologie structurale 〈dt.〉
    DDC: 572
    RVK:
    RVK:
    RVK:
    Keywords: Structural anthropology ; Ethnology ; Ethnologie ; Strukturalismus
    Note: Bd. 2 übers. von Eva Moldenhauer
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  • 63
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 620.0068
    Keywords: Engineering Management ; Leadership ; Technology Management ; Ingénierie ; Gestion ; Leadership ; Technologie ; Gestion ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Join host Michael Lopp, senior vice president at Apple, and his guest Will Larson, chief technology officer at Carta, as they demystify engineering strategy and discuss how these critical documents are much easier to create--and to support--than most people appreciate. You'll explore the common reasons why many organizations do not have a formal engineering strategy and learn about a proven process for creating one. This event is for you if you want to better understand engineering strategy, learn best practices for making one, or help drive and support strategy in your organization. Tech Leadership Tuesday is a dynamic monthly live event that helps empower people and technology leaders to become more effective and successful in their leadership roles. Each episode delves into a relevant topic for engineering leaders and, through a conversation between a host and guest, you'll learn about common challenges, best practices, and lessons learned from the guest's experience. What you'll learn and how you can apply it The importance of having a written engineering strategy How to create an engineering strategy What to avoid when writing an engineering strategy This live course is for you because... You want to hear from Michael Lopp and Will Larson about creating and implementing engineering strategy. You want to learn how to draft an engineering strategy. Recommended follow-up: Read The Engineering Executive's Primer (early release book by Will Larson) Read The Art of Leadership (book by Michael Lopp) Take Executive Leadership Fundamentals in 60 Minutes (on-demand course with Karen Walker).
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
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  • 64
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Artificial intelligence ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Observability is more difficult in the era of large language models, while insight into your code's behavior is increasingly more important. Join Sam Newman and Jessica Kerr for a discussion about the impact of AI on software production. They explore what happens when deterministic work (software development) meets nondeterministic work (GenAI) and examine some of the limitations of communicating with an AI at scale. This event is for anyone who builds or maintains software and is looking to better understand the intersection of GenAI and observability. What's New in Software Development gives you a chance to explore trending topics in software development and to hear from Sam and Jessica Kerr about software development, how to begin implementing AI tooling into your own work, and their own career journeys. They will spend a few minutes covering the trends that are influencing software development and then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it How to start thinking about integrating GenAI into your production lifecycle How to use observability to gain insight into how your code behaves in production This live course is for you because... You want to hear from Sam Newman and Jessica Kerr about how software development is changing. Recommended Follow-Up: Read Observability Engineering (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
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  • 65
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (43 min.)) , sound, color.
    Edition: [First edition].
    DDC: 650.1
    Keywords: Success in business ; Leadership ; Time management ; Project management ; Succès dans les affaires ; Leadership ; Gestion du temps ; Gestion de projet ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Advancing in a large organization requires more than just being good at your job. Many of these skills and practices are not obvious and seldom taught. In teaching some of these practices, this course will help you learn how to better manage your time and relationships, find space to innovate, and take advantage of all the perks and benefits of working at a large company, so that you can not only survive but also thrive in your role. What you'll learn and how to apply it By the end of this course, you will have new tools and ways of thinking that will improve your daily outlook, give you more opportunities to advance, and avoid overwork at a large organization. This course is for you because You're new to working at a large company and want some tactics and practices to avoid making mistakes and having an unpleasant worklife. You want to become better at managing relationships and using your time wisely. You want to work on advancing your career and effectiveness at work. Prerequisites You're working in a large company Your job is focused on how the organization runs, either by helping management, being a manager, or aspiring to one of those roles.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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  • 66
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.54
    Keywords: Microsoft Excel (Computer file) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Dirty data is everywhere. Have you had a letter addressed to you with your name misspelled? That's dirty data. Do you have trouble finding a product on a website because it's not in the right category? That's dirty data. Do you have trouble finding a person or company name in your system because of a typo? That's dirty data. And it causes problems, lots of problems. Before software implementation, machine learning and AI, you need clean data. It's THE most important thing to fix before doing any of these things, and we're all expected to be able to clean or fix this data, yet no one tells us how to do it! Some of the most common data problems occur in name, address, email and phone number data, and this course will cover this off. While there are many data-cleaning tools out there, almost everyone uses Excel, including non-data professionals, and it's important to have the skills to be familiar with and be able to get to know your data before you use these tools. It's essential to be able to spot and fix errors in Excel first, and understand when the data isn't right so you know if you can trust those fancy tools or not! This course will help you achieve this and you'll learn: What is dirty data? The importance of data quality Tips for cleaning data in Excel How to clean names, addresses, emails and phone numbers in Excel You'll even get your own dirty data set to work on! This course is for you because... You have data quality issues in your organization and would like your team to understand the importance of data quality and how to improve it. You're a data professional spending a significant amount of time cleaning data and would like to work more efficiently. You're not a data professional, but work with data and want to work more efficiently with it. Prerequisites: Some experience of Excel would be beneficial.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 27, 2024)
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  • 67
    Language: English
    Pages: 1 online resource (1 video file (54 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Join Michael Lopp and Tara Hernandez as they delve into developer productivity--what it is, why it's often misunderstood, and why it's such a hot topic right now. This event is for aspiring and active leaders who want to ensure that their teams are meeting their goals, have the tools they need to do their best work, and are able to communicate the value of their work to non-technical leadership. Viewers will gain insight into recent debates about measuring developer productivity, what qualitative and quantitative data shed the greatest light on productivity, and what steps they can take to foster an organizational culture that looks holistically at developer experience. Tech Leadership Tuesday is a dynamic monthly live event that helps empower people and technology leaders to become more effective and successful in their leadership roles. Each episode delves into a relevant topic for engineering leaders and, through a conversation between a host and guest, you'll learn about common challenges, best practices, and lessons learned from the guest's experience. What you'll learn and how you can apply it What's driving recent debates about developer productivity The role that developer productivity plays in engineering culture The business value of focusing on developer productivity and how you can measure ROI This live course is for you because... You want the chance to hear from Michael Lopp and Tara Hernandez about leadership and developer productivity. You're a leader and you want to learn to think more holistically about how to empower developers and deliver software faster. Recommended follow-up: Read Rethinking Productivity in Software Engineering (book) Read Efficiency vs. Effectiveness vs. Productivity (Chapter 2 from Leading Effective Engineering Teams) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 27, 2024)
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  • 68
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/37
    Keywords: User interfaces (Computer systems) Testing ; User-centered system design ; Web sites Design ; Conception participative (Conception de systèmes) ; Sites Web ; Conception ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: In an ideal world, usability testing might be considered exclusively the job responsibility of UX designers or researchers. However, for many of us and for various reasons, that just isn’t a reality. No matter what the situation is, running basic usability tests is something everyone is completely capable of—and it comes with the bonus of making us better at our own jobs, as well, by better understanding our users. In this course, we’ll discuss finding participants, thinking through the testing logistics, writing and facilitating a usability test, and reviewing the data. Each learner will get the chance to write a usability testing script for a feature in their own website or application that they’d like to test. Then, they’ll be challenged to practice usability tests with those scripts to get hands-on experience facilitating tests. Learners will leave this course feeling empowered and confident to start a usability testing program at their own workplace!
    Note: Online resource; title from title details screen (O’Reilly, viewed March 19, 2024)
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  • 69
    Language: English
    Pages: 1 online resource (1 video file (54 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3028/7
    Keywords: Software measurement ; Computer software Evaluation ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: With engineering leaders under increasing pressure to quantify engineering performance, there’s no shortage of opinions or frameworks suggesting which engineering metrics matter most. Join Peter Bell, CTO of Rare Talent, and guests for a discussion about how to select the metrics that matter for your organization’s success. Through this expert panel discussion, you’ll learn why selecting engineering metrics is so challenging, what considerations and trade-offs should be taken into account, the problems with commonly used metrics, and how to have more productive conversations about how metrics relate to executives’ key business goals. CTO Hour is a quarterly live event that brings together a panel of senior engineering leaders to discuss with expert and host Peter Bell how they’ve approached timely technology or business challenges. This dynamic event features ample time for questions. Active and aspiring senior leaders will learn valuable insights from top VPs and CTOs and ultimately be prepared to make better-informed decisions as heads of technology.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 20, 2024)
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  • 70
    Online Resource
    Online Resource
    [Sebastopol, California] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Natural language processing (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join host George Anadiotis and guest Eric Xing, for a discussion about the current and expanding field of open-source large language models and how they are impacting the development of generative AI. We’ll cover technical aspects, as well as the business and policy concerns related to open-source LLMs.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 20, 2024)
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  • 71
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Software engineering ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Software development is increasingly central to a business’s identity. But as the complexity of the practice grows, the demand is high for developers who operate at a senior level. And the rise in generative AI tools means that even expert developers must recalibrate how they work to keep up with the pace of development. Join us to level up your skills and accelerate your journey to senior software engineer. These in-depth sessions cover some of the biggest challenges facing software developers today, teaching you practical methods and best practices to improve coding and software design, better manage data, mentor new engineers, and collaborate with your team.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 20, 2024)
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  • 72
    Online Resource
    Online Resource
    [Sebastopol, California] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 23 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.5/14
    Keywords: Business enterprises Information technology ; Management ; Technological innovations ; Strategic planning ; Organizational change ; Entreprises ; Technologie de l'information ; Gestion ; Innovations ; Planification stratégique ; Changement organisationnel ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Build A Data Strategy to Create Iron-Clad Profit Performance is an online course and toolkit for data professionals who want to get unstuck and up-leveled into their next promotion by delivering fail-proof data strategy plans for their data projects. Learners need to have some degree of mastery with respect to data technologies and skill sets. They don’t need to know how to build every type of data / data science / data engineering solution under the sun, but they should have a firm understanding of at least data analytics, data science, data management or data engineering.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 19, 2024)
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  • 73
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 34 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Artificial intelligence promises to augment human capabilities, revolutionize scientific research, personalize consumer experiences, transform education, and usher in an era of autonomous transportation. But companies should understand the risks along with the potential. Implementing AI without clear use cases or business goals can lead to wasted resources, and a lack of expertise or attention to ethical considerations can bring powerful consequences. Join our experts to explore how AI is changing technology and business. You'll learn how to harness its transformative potential while avoiding common missteps and discover how to best use AI as a tool for progress rather than a stumbling block. What you'll learn and how you can apply it Apply AI in the right situations and avoid costly mistakes by expecting too much from a developing tech Program macros and scripts with no coding experience using ChatGPT Discover the progress being made with autonomous vehicles and the pitfalls they face This Superstream recording is for you because... You're an ML engineer or developer interested in safely and effectively taking advantage of recent advances in AI while avoiding potential pitfalls. You want to hear about the latest and greatest of AI from experienced industry experts working in the field today. Your organization is quickly advancing into applying AI without a strong map for the potential peaks and valleys ahead. Recommended follow-up: Read Designing Machine Learning Systems (book) Watch Building AI Agents with LLMs (video) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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  • 74
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.5
    Keywords: Product management ; Produits commerciaux ; Gestion ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Product management (PM) has emerged as an exciting and highly desirable career path, offering opportunities to people with far-reaching and eclectic skill sets and backgrounds. But this very variability can make product management a particularly challenging field to enter. Do all organizations mean the same thing when they say "product manager"? Do you need to learn technical skills to become a product manager? Become an expert designer? Get an MBA? This video provides strategies for breaking into a PM role from within or outside an organization. What you'll learn and how you can apply it Understand the fast-changing landscape of product management and adjacent roles Discover how to spot the product roles that match your background and experience Learn ways to transition from a nonproduct role to a PM role in your organization Prepare for your first product management job interview This course is for you because... You're a relatively new product manager, product owner, program manager, etc. Prerequisites: Beginner knowledge of product management Recommended follow-up: Watch Product Management Fundamentals (video).
    Note: Online resource; title from title details screen (O'Reilly, viewed April 15, 2024)
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  • 75
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 15, 2024)
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  • 76
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 77
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 78
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 519.5/37
    Keywords: Correlation (Statistics) ; Mathematical statistics ; Corrélation (Statistique) ; correlation ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 79
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 80
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Architecture logicielle ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: It's easy to assume that being a software architect is mostly about technical decision-making, but the job involves much more than that. So, what are the skills that make a software architect, and what do you need to know to succeed in the job? Join us to discover how to build the skills you need to step into a software architect role with confidence. You'll explore how to design distributed systems, work with architectural patterns, manage data, collaborate with teams, and more. By the time you're through, you'll understand why the answer to so many questions in software architecture is "It depends" and how to assess the trade-offs that will influence your decision-making. What you'll learn and how you can apply it Use architectural design patterns to make architectural choices Understand why architectural decisions are important and how to make them efficiently Think like a software architect and consider trade-offs effectively This live event is for you because... You're an aspiring software architect who wants to understand which skills you need to progress in your career. You're a software architect who wants to explore key skills in more detail. Recommended follow-up: Read Fundamentals of Software Architecture (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 2, 2024)
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  • 81
    Language: English
    Pages: 1 online resource (1 video file (1 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Join Sam Newman and Evan Bottcher for a discussion about the evolution of internal developer platforms and how to design teams that support a cohesive architecture reflected in underlying systems, features, processes, data, and APIs. Team arrangement, or topology, leads to "forces of alignment," which helps in making better technology decisions for both developers and external customers. What you'll learn and how you can apply it Explore how to make tool choices and organize workflows to optimize developer productivity Learn what constitutes an effective platform engineering team Understand the core values and objectives of successful platform engineering This live course is for you because... You want the chance to hear from Sam Newman and Evan Bottcher about how infrastructure & ops is changing. Recommended follow-up: Read Platform Engineering on Kubernetes (book) Watch Infrastructure & Ops Hour: Platform Engineering with Camille Fournier (video).
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 82
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 510.2/12
    Keywords: Mathematical notation ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 83
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 519.5/42
    Keywords: Bayesian statistical decision theory ; Probabilities ; Probability learning ; Statistics ; Théorie de la décision bayésienne ; Probabilités ; Apprentissage de probabilités ; Statistique ; probability ; statistics ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 84
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 510.2/12
    Keywords: Mathematical notation ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 85
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 86
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 87
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 88
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 89
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Electronic data processing ; Software engineering ; Big data ; Python (Computer program language) ; Computer programming ; Cloud computing ; Génie logiciel ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: The systems of today are exponentially more complex than the systems of 15, or even 10 years ago. There are way more moving parts and interactions to keep track of, sometimes leading to systems behaving in very unpredictable ways. In the past, Software Engineers and Site Reliability Engineers (SREs) could rely on logging and monitoring to make sense of their systems. This is no longer the case. The good news is that Observability can help. In this course, you will learn about how Observability can help SREs and Software Engineers make sense of what's going on in their systems. You will also learn about OpenTelemetry: what it is, how it supports Observability goals, how OpenTelemetry instrumentation works, and how the OpenTelemetry Collector and OpenTelemetry Operator further enhance OpenTelemetry's capabilities. You will put OpenTelemetry theory into practice with hands-on exercises which include instrumenting a Python application with OpenTelemetry, configuring the OpenTelemetry Collector, and deploying and configuring the OpenTelemetry Kubernetes Operator. Finally, you will learn what pitfalls to avoid when setting up an Observability practice, to ensure that you and your teams are positioned for success, and explore some advanced Observability use cases supported by OpenTelemetry. What you'll learn and how you can apply it Understand what Observability is, and why it is an important practice for SREs and software engineers Understand how OpenTelemetry helps to achieve Observability, and understand the basic building blocks required to instrument an application Understand the value of the OpenTelemetry Collector, and how to configure and deploy it Understand the value of the OpenTelemetry Operator, and how to configure and deploy it Quickly see OpenTelemetry in action in a complex ecosystem by running the OpenTelemetry Demo App Use OpenTelemetry to instrument a simple Python application and send traces to an Observability back-end via the OpenTelemetry Collector Understand what pitfalls to avoid in order to run a successful Observability practice Understand additional ways in which OpenTelemetry can help achieve Observability This course is for you because... You're a Site Reliability Engineer looking to improve the reliability of your systems. You're a Software Engineer looking to improve the debuggability of your code. Prerequisites: Familiarity with Linux Working knowledge of Python programming Docker fundamentals Git fundamentals Kubernetes fundamentals, including deploying applications to Kubernetes.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 2, 2024)
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  • 90
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.74
    Keywords: PostgreSQL ; SQL (Computer program language) ; SQL (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: PostgreSQL is the leading open source database for online transaction processing. It serves as the main database for many applications and services, and is a crucial component of any architecture. Knowing how to best utilize PostgreSQL has a big impact on your application. This on-demand course covers the essentials of PostgreSQL, from performing basic administrative tasks to designing a schema to keep data clean and prevent issues down the road. Through a mix of concise demonstrations and interactive assessment, you will learn how to execute queries, identify potential optimizations, and use appropriate indexes to make queries quick and efficient. What you'll learn and how to apply it Module 1: By the end of this module, the learner will be able to understand PostgreSQL core concepts and architecture. Module 2: By the end of this module, the learner will be able to perform common administrative tasks, such as creating users, tables, constraints, and indexes. Module 3: By the end of this module, the learner will be able to perform query optimizations with indexes. This course is for you because You're a developer, DBA or sysadmin You work with databases You want to specialize in PostgreSQL Prerequisites Basic knowledge of SQL.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 2, 2024)
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  • 91
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Computer programming ; Python (Langage de programmation) ; Apprentissage automatique ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: In this course, you will learn to use Python for data science and gain the essential skills to analyze and visualize data effectively. Whether you are a data analyst, data scientist, business analyst, or data engineer, this course will provide you with the knowledge and tools to excel in your role. Python is a versatile language that offers powerful libraries for data manipulation, visualization, and machine learning, making it the go-to choice for data professionals. The course solves the problem of understanding and leveraging Python's capabilities for data science by providing business use cases. You will learn to use popular Python libraries such as Pandas, Matplotlib, Seaborn, and Scikit-learn to analyze and visualize data, perform statistical analysis, and build predictive models. By the end of the course, you will have a solid foundation in Python for data science and be ready to apply your skills to real-world projects. What you'll learn and how you can apply it Upon completion of this course, learners will be able to: Apply Python programming concepts for data analysis and visualization Manipulate and analyze data using Pandas Create informative and visually appealing data visualizations using Matplotlib and Seaborn Perform statistical analysis to gain insights from the data Build and evaluate machine learning models for predictive analytics This course is for you because... You're a Python beginner who wants to learn how to manage data with Python. You're a traditional data analyst who has experience with tools like Excel and Tableau, but wants to learn how to manage data with Python. You're a finance, healthcare, ecommerce, or manufacturing/logistics professional looking to become adept in Python and data science. Prerequisites No prior knowledge of Python or Data analytics is needed. All course files can be accessed in this GitHub repository.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 23, 2024)
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  • 92
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1068/5
    Keywords: Computer software Quality control ; Computer software Development ; Software engineering ; Logiciels ; Qualité ; Contrôle ; Génie logiciel ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Getting out of tech debt can feel like a Sisyphean task. After weeks of work, the success case is to have the app working the way it used to. It's not uncommon for organizations to declare code bankruptcy and rewrite working systems from the ground up. How do we end up in this situation? How do we measure it? And how do we alleviate, or even better, prevent such a situation? Join expert Chelsea Troy to explore technical debt and its impact on an organization. You'll learn how this debt builds up, how to measure it, and how to zero in on areas of greatest need--identifying high-leverage code changes and prioritizing them over renovations. You'll also explore the skills that tech teams use to prevent and reduce tech debt so you can apply them in your own organization. What you'll learn and how you can apply it: By the end of this course, you should be able to marshal you team's morass of frustration around your technical debt into an actual plan with prioritized steps to reduce and control it. This course is for you because: You're an engineer who wants to understand and reduce tech debt. You work with engineers or manage large projects and want the code to work, and keep working, without burning out the team. Prerequisites: Experience leading technical teams or working with a code base that's becoming hard to maintain (useful but not required).
    Note: Online resource; title from title details screen (O'Reilly, viewed February 27, 2024)
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  • 93
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 36 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.5
    Keywords: Product management ; Produits commerciaux ; Gestion ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: "This six-module course teaches product managers how to choose a product to design, create a business case, work with engineering, and bring it to market. It will train current and aspiring product managers how to perform market research, understand a product life-cycle process, and successfully define, develop, launch, and promote new products. The modules are intended for anyone with no prior product management experience who wants to work in that capacity in a tech business or startup, as well as aspiring founders who want to learn more about the product management process. What you'll learn and how you can apply it The purpose of this course is to provide a fundamental understanding of new product design and development ideas. It presents essential management concerns in new product design; cutting-edge new product ideation, design, development, and marketing approaches. The goal of the product management module is to walk through the product management life cycle, from inception to growth and launch, while taking customer feedback into consideration and implementing effective tools, processes, and determination to create a scalable product and manage it until its end of life. It covers the product life cycle, market research, competitive analysis, market and pricing strategies, product roadmaps, and the people skills necessary to effectively influence and negotiate. It will give you practical, actionable advice on how to create and capture value as a Product Manager, with a focus on the fundamental concepts that underpin successful product creation and management across industries and individual businesses. Bridging the gap between ""strategy"" and ""implementation"" Learn and implement Product Management tools Prioritize your time and pick your battles (backlog) Collect and analyze customer and market feedback Prioritize and effectively communicate needs to technical teams Manage Technology Roadmaps effectively Guarantee successful product lifecycle management while mitigating product safety risks This course is for you because... You're a product manager with 1-4 years of experience who needs to deliver a product from initiation to decline and expansion. You have basic product management life cycle knowledge, from defining product problem statements, market assessment, technology roadmap, development, and go-to market. You have previous product management experience in charge of a team of at least five developers or cross-functional engineering teams (or if you would like to lead a team of five developers or more). Prerequisites Read: Practical Product Management for Engineers by Nehal Patel, Co-author Philip Hoang (book) Complete: Professional Development by Eric Roulo (Owner Roulo Consulting Inc.) Roulo Consulting Inc - Professional Development Reading/Writing Assignment".
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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  • 94
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 519.50285
    Keywords: Probabilities ; Mathematical statistics ; Computer science ; Probabilités ; Informatique ; probability ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 95
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 519.5/36
    Keywords: Regression analysis ; Statistics ; Analyse de régression ; Statistique ; statistics ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 96
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 97
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Neural networks (Computer science) ; Intelligence artificielle ; Réseaux neuronaux (Informatique) ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 98
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Biocompatibility ; Intelligence artificielle ; Biocompatibilité ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 99
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.8
    Keywords: Open source intelligence ; Computer security ; Renseignements de sources ouvertes ; Sécurité informatique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Open Source Intelligence (OSINT), the gathering of information from publicly available sources, is a critical skill for defensive and offensive cybersecurity. Many professionals that use OSINT as part of their jobs lack a comprehensive and systematic view of the concepts, tools, and techniques for gathering, analyzing, and interpreting data. This course provides a structured path for learning crucial OSINT skills, including search techniques, source evaluation, social media analysis, and ethical considerations. Learners will discover how to leverage OSINT in intelligence gathering, investigations, risk assessment, and decision-making processes.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 15, 2024)
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  • 100
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Machine learning ; Logistic regression analysis ; Apprentissage profond ; Apprentissage automatique ; Régression logistique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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