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.Lee mas.
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Las técnicas y herramientas cubiertas en Introduction to Machine Learning in Production son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Científico de datos.
Introduction to Machine Learning in Production is a part of uno structured learning path.
4 Courses
4 Months
Machine Learning Engineering for Production (MLOps)
