Interpretable Machine Learning with Python Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples

Interpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models. Build your interpretability...

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Detalles Bibliográficos
Otros Autores: Masís, Serg, author (author), Molak, Aleksander, author, Rothman, Denis, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing [2021]
Edición:Second edition
Colección:Expert insight.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009781236506719

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