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Supervised and deep learning

Concept

Supervised learning

It's a method of data analysis that uses algorithms

That iteratively learn from data

Allows computers to find information quickly without having to program

Deep learning

Branch of machine learning

Improve your performance by being able to access a greater number of data

The machine has more experience

Main characteristics

Supervised learning

Provides a direct path to convert data into real, actionable insights

Deep learning

Learning focused on meaning

Connection between knowledge and real life

Fostering critical spirit and analysis

Objective

Supervised learning

Solve known issues and use a labeled dataset to train an algorithm to perform specific tasks

Deep learning

A strategy that aims to incorporate a critical perspective on a given learning

Fuentes:

AprendeIA. (3 de Agosto de 2018). Obtenido de https://aprendeia.com/todo-sobre-aprendizaje-supervisado-en-machine-learning/#:~:text=El%20aprendizaje%20supervisado%20proporciona%20una,que%20est%C3%A9n%20tratando%20de%20predecir.

Aptus. (7 de Diciembre de 2018). Obtenido de https://aptus.com.ar/de-que-se-trata-el-aprendizaje-profundo-y-cuales-son-sus-caracteristicas/

NetApp. (2022). Obtenido de https://www.netapp.com/es/artificial-intelligence/what-is-deep-learning/

TIBC. (s.f.). Obtenido de https://www.tibco.com/es/reference-center/what-is-supervised-learning