Bayesian Networks 1 - Inference - Stanford CS221: AI
Stanford University
60 Cursos
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Resumen
El curso enseña a los estudiantes cómo especificar distribuciones conjuntas de manera compacta utilizando redes bayesianas y grafos de factores. Cubre la inferencia probabilística, la influencia contraria, la consistencia de sub-redes bayesianas y aplicaciones como el diagnóstico médico, el modelado del lenguaje, el seguimiento de objetos, el seguimiento de múltiples objetos y la clasificación de documentos.
El curso tiene como objetivo equipar a los estudiantes con las habilidades para modelar sistemas complejos y tomar decisiones informadas utilizando la programación probabilística. La audiencia a la que se dirige este curso son individuos interesados en inteligencia artificial, aprendizaje automático y modelos gráficos probabilísticos.
Universidad: Universidad de Stanford
Proveedor: Universidad de Stanford
Categorías: Cursos de Inteligencia Artificial, Cursos de Estadística y Probabilidad, Cursos de Aprendizaje Automático
