Probabilistic Graphical Models 2: Inference
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Resumen
Adéntrate más en el mundo de la inteligencia artificial con Modelos Gráficos Probabilísticos 2: Inferencia, ofrecido a través de Coursera por la Universidad de Stanford. Este curso avanzado sirve como la segunda entrega de una serie comprensiva de tres partes diseñada para equipar a los estudiantes con un entendimiento profundo de los modelos gráficos probabilísticos (PGM por sus siglas en inglés). Estos modelos son cruciales para representar distribuciones de probabilidad complejas en diversos dominios, abarcando una multitud de variables aleatorias que interactúan. Los PGM son fundamentales para el desarrollo de métodos de vanguardia en varias aplicaciones, incluyendo, entre otros, el diagnóstico médico, la interpretación de imágenes, el reconocimiento de voz y el procesamiento de lenguaje natural.
Continuando con los conceptos fundamentales introducidos en el primer curso, que cubrió la representación, este segmento se centra específicamente en la inferencia probabilística. Explora cómo se pueden emplear los PGM para responder preguntas de manera eficiente a pesar de su naturaleza de alta dimensión, gracias a su diseño estructurado. El curso cubre meticulosamente tanto los algoritmos de inferencia exactos como los aproximados, proporcionando ideas sobre los contextos apropiados para su aplicación. Además, los participantes que elijan participar en la modalidad de honores ganarán experiencia práctica a través de asignaciones de programación. Estas tareas implican implementar y aplicar rutinas clave de los algoritmos exactos y aproximados más utilizados para abordar un problema del mundo real, mejorando así la experiencia de aprendizaje práctico.
Categorizado bajo Cursos de Inteligencia Artificial, esta oferta no es solo un testimonio del compromiso de la Universidad de Stanford con la investigación académica de vanguardia, sino también un recurso invaluable para los estudiantes ansiosos por avanzar su conocimiento en aprendizaje automático e inteligencia artificial.
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1449 Cursos
Coursera
Free Online Course (Audit)
English
38 hours
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