In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application.阅读更多.
此资源由附属合作伙伴提供。 如果您支付培训费用，我们可能会赚取佣金来支持该网站。
Introduction to Machine Learning in Production 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。
Introduction to Machine Learning in Production is a part of 一 structured learning path.
4 Courses
4 Months
Machine Learning Engineering for Production (MLOps)
