Udvidet returret til d. 31. januar 2025

Can We Be Wrong? The Problem of Textual Evidence in a Time of Data - Andrew (McGill University Piper - Bog

Bag om Can We Be Wrong? The Problem of Textual Evidence in a Time of Data

This Element combines a machine learning-based approach to detect the prevalence and nature of generalization across tens of thousands of sentences from different disciplines alongside a robust discussion of potential solutions to the problem of the generalizability of textual evidence.

Vis mere
  • Sprog:
  • Engelsk
  • ISBN:
  • 9781108926201
  • Indbinding:
  • Paperback
  • Sideantal:
  • 75
  • Udgivet:
  • 19. november 2020
  • Størrelse:
  • 227x150x9 mm.
  • Vægt:
  • 142 g.
  • 8-11 hverdage.
  • 29. november 2024
På lager

Normalpris

  • BLACK NOVEMBER

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Can We Be Wrong? The Problem of Textual Evidence in a Time of Data

This Element combines a machine learning-based approach to detect the prevalence and nature of generalization across tens of thousands of sentences from different disciplines alongside a robust discussion of potential solutions to the problem of the generalizability of textual evidence.

Brugerbedømmelser af Can We Be Wrong? The Problem of Textual Evidence in a Time of Data



Find lignende bøger
Bogen Can We Be Wrong? The Problem of Textual Evidence in a Time of Data findes i følgende kategorier:

Gør som tusindvis af andre bogelskere

Tilmeld dig nyhedsbrevet og få gode tilbud og inspiration til din næste læsning.