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joanby / probabilidad

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Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir

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Probabilidad y variables aleatorias para ML con R y Python

Consulta el curso completo creado por Ricardo Alberich, Juan Gabriel Gomila y Arnau Mir solamente en Udemy.

Puedes consultar todas las transparencias del curso en formato HTML desde nuestro Github.io.

También tienes todas las distribuciones de probabilidad en nuestro Shiny interactivo.

Asienta las bases para convertirte en el Data Scientist del futuro con todo el contenido de probabilidad del curso. En particular verás los mismos contenidos que explicamos en primero de carrera a matemáticos, ingenieros, economistas, biólogos, médicos o informáticos.

  • Prerrequisitos
  1. Probabilidad
  2. Variables aleatorias
  3. Distribuciones notables
  4. Complementos avanzados
  5. Variables bidimensionales
  6. Variables multidimensionales
  7. Convergencia y Teorema Central del límite

Y todo con más de 40 horas de vídeo bajo demanda, cientos de ejercicios, tareas, talleres y trucos de los profesores para que te conviertas en un experto de la materia.

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