Popular tools for deploying ML in production

In this section, we will be discussing some popular tools used for putting ML in production systems. The core utility provided by these tools is automating the learning-prediction-feedback pipeline and facilitating the monitoring of the model's quality and performance. While it is very much possible to create your own tools for this, it is highly recommended that you use any of the following tools, as per the requirements of your software.

Let's begin by discussing creme.

creme

creme is a Python library that allows us to perform online learning efficiently. Before we look at creme in action, let's have a brief discussion about online learning itself:

In online learning...