OSR059 OpenML [EN]

Open Access Week is on and this year’s motto is „Open in Action“. Thus we’ll take the chance to feature a really interesting open science project we’ve recently stumbled upon: OpenML. OpenML sets out (and actually already achieved) to make machine learning available to a broader audience (especially scientists) and build a platform to create, share, evaluate and use machine learning algorithms. We took the chance to talk to Heidi Seibold and Joaquin Vanschoren about the project’s history, current state and future plans! Feel invited to give OpenML a chance, test it, or contribute to it. For now, enjoy this episode!

P.S.: we had to partly switch to a backup recording option, hopefully you don’t mind too much.

This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

Teilnehmer

• Matthias Fromm
  • Twitter
  • GitHub
  • Website
  • ORCiD
  • Linkedin
  • Website
  • Thomann Wishlist
  • Amazon Wishlist
• Konrad Förstner
  • Twitter
  • Website
  • GitHub
  • ORCiD
  • ResearchGate
• Heidi Seibold
  • Twitter
  • GitHub
  • Website
  • ORCiD
• Joaquin Vanschoren
  • Twitter
  • GitHub
  • Website
  • Linkedin
  • ResearchGate

Shownotes: OSR059 OpenML [EN]

Welcome 00:00:00

Open Access Week; — OpenML;.

Introduction Heidi 00:01:16

Heidi Seibold; — Heidi on Twitter;.

Introduction Joaquin 00:02:18

Joaquin Vanshoren; — Joaquin on Twitter;.

Machine Learning 00:03:14

Machine Learning; — Neural Networks;.

The Basics of OpenML 00:06:36

Polymath; — Tim Gowers; — Bernd Bischl; — R Project for Statistical Computing; — OpenML Github Repository; — OpenML Community on Google groups;.

Working with and on OpenML 00:18:34

Contributions; — Github DOI; — Altmetric; — Users statistics; — Comparing and evaluating machine learning algorithms; — International Conference on Machine Learning ICML; — European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECMLPKDD;.

OpenML's Future 00:40:12

Linked Open Data; — Integrate OpenML into machine learning tools; — Funding Opportunities;.

Epilog 00:44:43

OpenML Blog; — Jupyter Notebooks; — OpenML on Youtube;.