Elements of Causal Inference : Foundations and Learning Algorithms

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-containe...

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Autores:
Tipo de recurso:
Book
Fecha de publicación:
2017
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/18482
Acceso en línea:
https://directory.doabooks.org/handle/20.500.12854/31495
http://hdl.handle.net/20.500.12010/18482
Palabra clave:
Causality
Machine learning
Statistical models
Algoritmos
Algoritmos computacionales
Algoritmos en línea
Rights
License
Abierto (Texto Completo)