Comet for Data Science

Chapter 1: An Overview of Comet

Data science is a set of strategies, algorithms, and best practices that we exploit to extract insights and trends from data. A typical data science project life cycle involves different steps, including problem understanding, data collection and cleaning, data modeling, model evaluation, and model deployment and monitoring. Although every step requires some specific skills and capabilities, all the steps are strictly connected to each other and, usually, they are organized as a pipeline, where the output of a module corresponds to the input of the next one.

In the past, data scientists built complete pipelines manually, which required much attention: a little error in a single step of the pipeline affected the ...