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

Auteurs

• Andrew Piper

Paramètres

• 75 pages
• 3 heures de lecture

• Informatique, programmation
• Technologie / Ingénierie

En savoir plus sur le livre

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.

Achat du livre

• Année de publication: 2020
• Reliure: (souple)