September 2024
Intermediate to advanced
402 pages
13h 3m
Spanish
Content preview from Equipos eficaces de aprendizaje automático
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Capítulo 11. Organizaciones eficaces de LD
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He dado todo lo que he podido,
No es suficiente
"Karma Police" de Radiohead
¿Has trabajado alguna vez en un gran equipo que, sin embargo, luchaba por tener un impacto porque se le pedía que hiciera el tipo de trabajo equivocado, o que se centrara en demasiadas cosas a la vez, o que esperara constantemente a que otros equipos hicieran las cosas?
En nuestro viaje hasta ahora, hemos analizado detenidamente lo que ocurre dentro de los equipos de ML, incluida la mecánica complementaria de las prácticas de trabajo, cómo configuramos nuestra tecnología y los elementos humanísticos del trabajo en equipo. También hemos examinado la interacción entre la entrega del producto y el ML en los equipos. Este capítulo nos lleva un paso más allá, examinando cómo la eficacia de los equipos se ve moderada por factores organizativos y, a su vez, cómo las organizaciones eficaces se construyen a partir de equipos eficaces.
Esta perspectiva organizativa de es fundamental para crear equipos de ML eficaces, porque incluso el mejor equipo -un equipo con una gestión de dependencias bien afinada, entrega continua, pruebas automatizadas, IDEs sobrealimentados, confianza, comunicación, diversidad y propósito- será derrotado por un mal sistema de trabajo mal configurado o excesivas dependencias organizativas.
Desde una perspectiva sistémica, un ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.