Data Science in Production: Building Scalable Model Pipelines with Python

Аннотация

The data science landscape is constantly evolving, because new tools and libraries are enabling smaller teams to deliver more impactful products. In the current state, data scientists are expected to build systems that not only scale to a single product, but a portfolio of products. The goal of this book is to provide data scientists with a set of tools that can be used to build predictive model services for product teams.