An introduction to machine learning interpretability an applied perspective on fairness, accountability, transparency, and explainable AI

Innovation and competition are driving analysts and data scientists toward increasingly complex predictive modeling and machine learning algorithms. This complexity makes these models accurate, but can also make their predictions difficult to understand. When accuracy outpaces interpretability, huma...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Hall, Patrick (VerfasserIn), Gill, Navdeep (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Sebastopol, CA O'Reilly Media [2019]
Ausgabe:	Second edition.
Schlagworte:	Machine learning Artificial intelligence Artificial Intelligence Machine Learning Apprentissage automatique Intelligence artificielle artificial intelligence
Online-Zugang:	lizenzpflichtig
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