English(EN)Building a Production-Ready MLOps System from Scratch
MLOps详解:弥合从Notebook到生产的鸿沟 · 追踪8个来源
作者PulseAugur 编辑部·[12 个来源]·
该文章集探讨了MLOps,即将DevOps原则应用于机器学习模型以确保其能够可靠地部署和维护在生产环境中。多篇文章详细介绍了如何构建自愈MLOps管道,该管道可自动检测数据漂移等问题并重新训练模型。文章涵盖了各种工具和平台,包括AWS、Kubernetes、Docker和Python,以弥合模型在Notebook中开发与生产就绪之间的差距。
AI
<div class="medium-feed-item"><p class="medium-feed-snippet">Machine Learning projects often start with excitement but quickly become messy.</p><p class="medium-feed-link"><a href="https://medium.com/@rishikakapoor.rk/what-is-mlflow-a-beginners-guide-to-managing-machine-learning-…
Medium — MLOps tag
TIER_1English(EN)·Gulesehar khan·
<div class="medium-feed-item"><p class="medium-feed-snippet">Building a model is the easy part. Keeping it working in production is where most teams fail — and MLOps is the solution.</p><p class="medium-feed-link"><a href="https://medium.com/@guleseharkhan915/mlops-for-beg…
<div class="medium-feed-item"><p class="medium-feed-snippet">Cómo construí un sistema MLOps end-to-end que se monitorea solo, detecta data drift y se vuelve a entrenar automáticamente — usando una…</p><p class="medium-feed-link"><a href="https://mediu…
<div class="medium-feed-item"><p class="medium-feed-snippet">How I built an end-to-end MLOps system that monitors itself, detects data drift, and retrains automatically — using a pizza restaurant as…</p><p class="medium-feed-link"><a href="https://medium.com/@carlo.…
Medium — MLOps tag
TIER_1English(EN)·Taha Bagatur·