Thinking about Machine Learning Data Pipelines

Machine learning involves tasks that include data sourcing, data ingestion, data transformation, pre-processing data for use in training, training a model, and hosting the model. Additionally, to get value out of machine learning models, we need an architecture and process in place to repeatedly and consistently train new models and ...