September 2024
Intermediate to advanced
402 pages
13h 3m
Spanish
Content preview from Equipos eficaces de aprendizaje automático
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Capítulo 2. Prácticas de producto y entrega para equipos de ML
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El desarrollo de productos no es fácil. De hecho, la mayoría de los esfuerzos de desarrollo de productos fracasan, y la razón más común del fracaso es construir el producto equivocado.
Henrik Kniberg, coach ágil y Lean
Puedes practicar el tiro [de baloncesto] ocho horas al día, pero si tu técnica es incorrecta, lo único que conseguirás es ser muy bueno tirando de forma incorrecta. Domina los fundamentos y el nivel de todo lo que hagas aumentará.
Michael Jordan
En el Capítulo 1, presentamos las cinco disciplinas necesarias para ofrecer soluciones de ML: producto, entrega, ML, ingeniería de software y datos. Más adelante, en la Parte II del libro, nos centraremos en muchas prácticas de ingeniería, ML y datos para ayudar a los equipos a construir bien el producto y reducir el trabajo, el despilfarro y la repetición de tareas. Estas prácticas mejorarán la velocidad y la calidad del producto. Sin embargo, es importante que empecemos primero con las prácticas de producto y entrega que ayudan a los equipos con un objetivo aún más importante: cómo construir lo correcto.
En este capítulo, nos centraremos en los aspectos del ciclo de vida de la entrega de productos de ML en los que a menudo vemos que el esfuerzo de los equipos se echa a perder debido a la falta de claridad o a la desalineación entre lo que necesitan ...
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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.