September 2024
Intermediate to advanced
506 pages
12h 45m
Spanish
Content preview from Python para DevOps
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Capítulo 14. MLOps e ingeniería de aprendizaje automático
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Uno de los puestos de trabajo más demandados en 2020 es el de ingeniero de aprendizaje automático. Otros empleos de moda son ingeniero de datos, científico de datos y científico de aprendizaje automático. Aunque puedes ser un especialista en DevOps, DevOps es un comportamiento, y los principios de DevOps pueden aplicarse a cualquier proyecto de software, incluido el aprendizaje automático. Veamos algunas de las principales buenas prácticas de DevOps: Integración continua, Entrega continua, Microservicios, Infraestructura como código, Monitoreo y registro, y Comunicación y colaboración. ¿Cuál de ellas no se aplica al aprendizaje automático?
Cuanto más complejo es un proyecto de ingeniería de software, y el aprendizaje automático es complejo, más necesarios son los principios DevOps. ¿Existe un ejemplo mejor de Microservicio que una API que realiza predicciones de aprendizaje automático? En este capítulo, vamos a sumergirnos en el meollo de hacer aprendizaje automático de forma profesional y repetible utilizando una mentalidad DevOps.
¿Qué es el aprendizaje automático?
El aprendizaje automático es un método que utiliza algoritmos para aprender automáticamente de los datos. Hay cuatro tipos principales: supervisado, semisupervisado, no supervisado y de refuerzo.
Aprendizaje automático supervisado
En el aprendizaje ...
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