In the second course of Machine Learning Engineering for Production Specialization, you will build data pipelines by gathering, cleaning, and validating datasets and assessing data quality; implement feature engineering, transformation, and selection with TensorFlow Extended and get the most predictive power out of your data; and establish the data lifecycle by leveraging data lineage and provenance metadata tools and follow data evolution with enterprise data schemas.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 Data Lifecycle in Production son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Científico de datos.
Machine Learning Data Lifecycle in Production is a part of uno structured learning path.
4 Courses
4 Months
Machine Learning Engineering for Production (MLOps)
