September 2024
Intermediate to advanced
380 pages
10h 25m
Spanish
Content preview from Implantar MLOps en la empresa
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Capítulo 7. Construir unProyecto MLOps de Producciónde la A a la Z
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Este capítulo proporciona un ejemplo de proyecto de ML con todos sus componentes y los atributos MLOps necesarios para la implementación en producción. Sigue las prácticas presentadas en el Capítulo 3. Las aplicaciones de ejemplo predicen y previenen el fraude en las transacciones de crédito calculando las características del usuario y de la transacción e introduciéndolas en un modelo clasificador, que determinará si la transacción es legítima.
Todos los ejemplos de código presentados en este capítulo están almacenados en Git.
La ejecución del proyecto consta de los siguientes pasos:
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Explorar y analizar los datos (EDA)
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Construir el pipeline de ingesta y preparación de datos
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Construir el proceso de entrenamiento y validación del modelo
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Desarrollar el pipeline de servicio de la aplicación (interceptar peticiones, procesar datos, inferir, etc.)
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Monitoreo de los datos y del modelo (deriva y más)
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Abordar las operaciones continuas y el CI/CD
El paso de preparación de datos se implementará de dos formas: utilizando paquetes estándar de Python y utilizando un almacén de características.
La prevención del fraude es un reto, ya que requiere procesar transacciones y eventos en bruto en tiempo real y ser capaz de responder rápidamente y bloquear transacciones antes de que se produzcan. Considera ...
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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.