Machine Learning Zero to Hero

Machine Learning Zero to Hero

Machine Learning representa un nuevo paradigma en la programación. Machine Learning Zero to Hero: Introducción a Machine Learning, modelo de ML, Computer vision básica con ML, Introducción a las redes neuronales convolucionales

Introducción a Machine Learning (ML Zero to Hero, parte 1) Machine Learning representa un nuevo paradigma en la programación, donde en lugar de programar reglas explícitas en un lenguaje como Java o C ++, se entrena un sistema con datos para inferir las reglas por sí mismo. Pero ¿cómo es en realidad el ML? En la primera parte de Machine Learning Zero to Hero, María Inés muestra un ejemplo básico basado en el juego de piedra, papel y tijera para construir un modelo de ML, presentando ideas que aplicaremos en episodios posteriores a un problema más interesante: computer vision.

Computer vision básica con ML (ML Zero to Hero, parte 2) En la segunda parte de Machine Learning Zero to Hero, María Inés nos introduce al computer vision enseñándole a una computadora a ver y reconocer diferentes objetos.

Introducción a las redes neuronales convolucionales (ML Zero to Hero, parte 3) En el episodio 3 de Machine Learning Zero to Hero, Carolina Leal nos platica sobre las redes neuronales convolucionales y por qué son tan poderosas en escenarios de Visión Computacional. Una convolución es un filtro que pasa sobre una imagen, la procesa, y extrae características que muestran algo en común en la imagen. En este video verás cómo trabajan, ¡procesando una imagen para ver si puedes extraer características de ella!

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