In the third course of Machine Learning Engineering for Production Specialization, you will build models for different serving environments; implement tools and techniques to effectively manage your modeling resources and best serve offline and online inference requests; and use analytics tools and performance metrics to address model fairness, explainability issues, and mitigate bottlenecks.阅读更多.
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Machine Learning Modeling Pipelines 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。
Machine Learning Modeling Pipelines in Production is a part of 一 structured learning path.
4 Courses
4 Months
Machine Learning Engineering for Production (MLOps)
