In this multi-part series, I’ll walk you through how I set up an on-premise machine learning pipeline with open-source tools and frameworks. Prologue: Model Training is Just A Tiny Part When most people think about machine learning, they imagine engineers and data scientists tweaking network architectures, loss functions, and tuning hyper-parameters, coupled with the constant retraining until the results are satisfactory. Indeed, training machine learning models takes a lot of hard work. A tremendous amount of time and resources are…