Practical explainable AI using Python : artificial intelligence model explanations using Python-based libraries, extensions, and frameworks

Practical explainable AI using Python artificial intelligence model explanations using Python-based libraries, extensions, and frameworks

Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as...

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Detalles Bibliográficos
Otros Autores: Mishra, Pradeepta, author (author)
Formato: Electrónico
Idioma:Inglés
Publicado: New York, New York : Apress [2021]
Materias:
Python (Computer program language)
Artificial intelligence > Data processing.
Application software > Development.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009644291806719

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