September 2024
Intermediate to advanced
402 pages
13h 3m
Spanish
Content preview from Equipos eficaces de aprendizaje automático
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Capítulo 3. Gestión eficaz de la dependencia: Principios y herramientas
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En este capítulo y el siguiente, abordaremos un reto que todo profesional del ML encontrará sin duda en muchos momentos de su carrera: el infierno de las dependencias. El infierno de dependencias es una de las causas comunes del infame problema "funciona en mi máquina". Como profesional del ML que a menudo se enfrenta al infierno de las dependencias, es posible que a menudo desees respuestas a las siguientes preguntas:
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¿Cómo podemos mis compañeros de equipo y yo instalar dependencias de forma fácil y reproducible cuando y donde las necesitemos -en una máquina local, un portátil en la nube, un clúster distribuido, etc.- con el mínimo esfuerzo y resolución de problemas?
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A medida que aumentan las dependencias de nuestro proyecto, ¿cómo podemos optimizarlas para que al instalarlas no parezca que estamos esperando a que se descargue Internet?
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¿Cómo podemos asegurarnos de que nuestro proyecto no se vea comprometido por vulnerabilidades de seguridad en sus dependencias, y en las dependencias de esas dependencias?
Al final de los Capítulos 3 y 4, tendrás respuestas a todas estas preguntas. A medida que aprendas, podrás aplicar prácticas eficaces de gestión de dependencias a tus propios proyectos:
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Cómo reconocer un enfoque de gestión de dependencias incompleto
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Principios y herramientas para ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.