The article highlights that AI/Machine Learning/any data-related job is a real job that requires skills, craftsmanship, and tools. It explains the process of moving from a notebook to a real pipeline in production, emphasizing the importance of automation and monitoring. The article also provides a simple use case of a Data Scientist working at an e-commerce company and the steps involved in preparing the data and training a model.
Table of contents
Machine Learning on GCP: From Notebooks to PipelinesAdvocating for AIA simple use caseBefore ProductionMoving to ProductionConclusion2 Impressions