TOOLORA / Local reading edition
Made With ML
Project-based lessons connecting ML data preparation, training, testing, deployment and monitoring.
Overview
Created by Goku Mohandas and now part of Anyscale, Made With ML teaches production ML to developers with Python and ML basics. A project connects data preparation, training, evaluation, versioning, testing, serving and monitoring. Its repository supplies code, and setup distinguishes local and Anyscale environments. It is an engineering course, not a hosted AutoML product.
Usage guide & costs
- Before you start
Lessons and code are public, and the companion repository states MIT. Cloud compute, accounts and third-party models have separate conditions. Check dependency versions; the repository license does not cover every external asset or model.
Official details ↗ · Official details ↗
Official sources and references
- Official websitehttps://madewithml.com/
- Documentationhttps://madewithml.com/courses/mlops/setup/
- Documentationhttps://github.com/GokuMohandas/Made-With-ML
- Documentationhttps://github.com/GokuMohandas/Made-With-ML/blob/main/LICENSE
Descriptions summarize public information; consult official websites for features, pricing and regional availability.