Machine Learning Pipelines
Model training is only a small piece of the machine learning process. Data scientists often spend a significant amount of time cleansing, transforming, and preparing data to get it ready to be consumed by a machine learning model. Since data preparation is such a time-consuming activity, we will present state of the art techniques to facilitate this activity as well as other components that together form a well-designed production machine learning pipeline.
In this chapter, we will cover the following key topics:
- What exactly is a machine learning pipeline?
- What are the components of a production-quality machine learning pipeline?
- What are the best practices when deploying machine learning models?
- Once a machine learning pipeline is in place, how can we shorten the deployment cycle?
