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Conociendo IA: fundamentos

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Conociendo IA: fundamentos

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Quiz básico de IA

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JESUS HERNANDEZ SANCHEZ
JESUS HERNANDEZ SANCHEZ
Mexico

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Conociendo IA: fundamentos
 

Conociendo IA: fundamentosOnline version

Quiz básico de IA

by JESUS HERNANDEZ SANCHEZ
1

¿Qué significa IA (Inteligencia Artificial)?

2

¿Qué es el aprendizaje automático (machine learning)?

3

¿Qué diferencia a el aprendizaje profundo (deep learning)?

4

¿Qué es un algoritmo de IA supervisado?

5

¿Qué es aprendizaje por refuerzo?

6

¿Qué es una red neuronal artificial?

7

¿Qué se entiende por sesgo en IA?

8

¿Qué es IA débil (narrow AI)?

9

¿Qué es IA explicable (XAI)?

10

¿Qué se evalúa típico en IA?

Explicación

La IA busca emular capacidades como razonar, aprender y resolver problemas.

Permite que las máquinas mejoren con la experiencia y datos.

Usa múltiples capas para abstraer datos complejos.

El modelo aprende a partir de ejemplos con respuestas conocidas.

El agente mejora por retroalimentación de resultados.

Capta patrones complejos mediante neuronas interconectadas.

Puede sesgar decisiones si los datos son parciales o injustos.

Se centra en una función concreta, no en inteligencia general.

Permite entender por qué una decisión se tomó.

Se miden varias métricas para asegurar calidad y seguridad.

 
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