In this tutorial you will learn how to write scalable, production-ready data science and machine learning code. By following along, you will implement a variety of patterns to help you build a machine learning stack to handle data, access compute, faciltate robust versioning, and more. At the end of this tutorial you will be able to:
- Design basic machine learning workflows.
- Version and track data in your machine learning systems.
- Train and track models in parallel.