Materials for the "Reproducible ML with Open Source Tooling" workshop at Applied ML Days 2018.
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docker
full_ml_workflows
reproducibility_challenges
README.md
amld-reproducibility.png

README.md

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ML Reproducibility with Open Source Tooling - AMLD 2018

This repo includes all of the materials that you will need for the "Machine Learning Reproducibility with Open Source Tooling" workshop at Applied ML Days 2018. In this workshop, we will discuss the importance of reproducibility and data provenance in any applied machine learning workflow. We will then implement a realistic machine learning workflow, emphasizing these points and utilizing open source tooling to overcome the challenges associated with reproducibility.

Agenda

  1. Introduction
  2. Reproducibility challenges
  3. Predictable application behavior with Docker
  4. Fully reproducible orchestration of ML workflows

Getting Started