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Froggy Jumps
Froggy Jumps

SESIONES 16 Y 17

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SESIONES 16 Y 17

Froggy Jumps

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About this activity

Actividad de las sesiones 16 y 17 del curso de Inteligencia Artificial

Created by

FREDDY LARA
FREDDY LARA
Colombia

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SESIONES 16 Y 17
 

Froggy Jumps

SESIONES 16 Y 17Online version

Actividad de las sesiones 16 y 17 del curso de Inteligencia Artificial

by FREDDY LARA
1

1. El aprendizaje supervisado es un tipo de aprendizaje automático donde un modelo busca patrones en datos sin etiquetas.

2

2. ¿Cuáles de las siguientes son aplicaciones del aprendizaje no supervisado?

3

3. ¿Cuáles de las siguientes son ventajas del aprendizaje no supervisado?

4

4. ¿Cuál es la principal característica del algoritmo K-Means?

5

¿Qué hace el algoritmo DBSCAN para formar clusters?

6

¿Cómo funciona el algoritmo Mean-Shift?

7

¿Cuál es una ventaja de reducir la dimensionalidad de los datos?

8

El aprendizaje inductivo es un proceso dentro del campo del aprendizaje automático (Machine Learning)

9

¿Cuál es el principio básico del aprendizaje inductivo?

10

¿Cuál es el propósito de dividir los datos en un conjunto de entrenamiento y un conjunto de prueba?

11

¿Cuál de las siguientes es una aplicación del aprendizaje inductivo?

12

¿Cuál es un riesgo asociado al aprendizaje inductivo según la tabla comparativa?

 
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