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.Lee mas.
Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.
Las técnicas y herramientas cubiertas en Machine Learning Modeling Pipelines in Production son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Científico de datos.
Machine Learning Modeling Pipelines in Production is a part of uno structured learning path.
4 Courses
4 Months
Machine Learning Engineering for Production (MLOps)
