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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The techniques and tools covered in Introduction to Machine Learning in Production are most similar to the requirements found in Científico de datos data science job advertisements.
Introduction to Machine Learning in Production is a part of uno structured learning path.
4 Courses
4 Months
Machine Learning Engineering for Production (MLOps)
