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Quiz de conceptos de IA

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Quiz de conceptos de IA

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Conceptos clave de IA

Created by

GABRIELA SANTANA MELO
GABRIELA SANTANA MELO
Colombia

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Quiz de conceptos de IA
 

Quiz de conceptos de IAOnline version

Conceptos clave de IA

by GABRIELA SANTANA MELO
1

¿Qué significa IA en español?

2

Diferencia entre IA débil y IA fuerte.

3

¿Qué es el aprendizaje supervisado?

4

¿Qué caracteriza al aprendizaje no supervisado?

5

¿Qué es una red neuronal artificial?

6

¿Qué es el sobreajuste (overfitting)?

7

¿Qué caracteriza el aprendizaje por refuerzo?

8

¿Qué implica sesgo en IA?

9

Qué mide la precisión (en clasificación)?

10

¿Qué es la regularización?

Explicación

La IA busca emular capacidades cognitivas, no solo automatizar tareas.

La IA débil está limitada a una tarea, mientras la IA fuerte tendría comprensión amplia.

Se necesita pares de entrada/etiqueta para aprender a mapear entradas a salidas.

El objetivo es encontrar estructura o agrupamientos en datos no etiquetados.

Las neuronas artificiales simulan la activación y propagación de señales.

Un modelo que se ajusta demasiado perdura mal ante datos no vistos.

El agente explora acciones y recibe feedback para maximizar recompensas.

Sesgos en datos o en el proceso pueden sesgar decisiones.

Precisión = TP / (TP + FP).

La regularización ayuda a generalizar mejor con datos no vistos.

 
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