Machine Learning Powered Data Pipelines

Kai Sahling
Jul 13, 2020 · 5 min read

In the course of the last years the interest in Data Science and Machine Learning has continuously increased. Thanks to libraries like Scikit-Learn, it is getting easier and easier to apply machine learning algorithms. However, in my experience, one thing is often overlooked, namely how to successfully bring such models into production.

While the interest in Machine Learning (yellow) and Data Science (blue) is growing steadily, Data Engineering (red), although equally important, remain relatively unnoticed