OSR059 OpenML [EN]

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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.


Episode Info:
Duration 0:48:23
Recorded on 21-10-2016, Published on 28-10-2016


Downloads:

Teilnehmer:
avatar Matthias Fromm Thomann Wishlist Icon Amazon Wishlist Icon
avatar Konrad Förstner
avatar Heidi Seibold
avatar Joaquin Vanschoren

Shownotes:

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;.

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;.

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