Open, networked science in machine learning.
Research in machine learning and data mining can be speeded up tremendously by moving empirical research results out of people’s heads and labs, onto the network and into tools that help us structure and alter the information. OpenML is a collaborative open science platform for machine learning. Through plugins for the major machine learning environments, OpenML allows researchers to automatically upload all their experiments and organize them online. OpenML automatically links these experiments to all related experiments, and adds meta-information about the used datasets and algorithms. As such, all research results are searchable, comparable and reusable in many different ways. Beyond the traditional publication of results in papers, OpenML offers a much more collaborative, dynamic and faster way of doing research.
After this talk a drink will take place in the PVOC.