eScience Tech Lead Carlos Martinez, who will conduct the workshop, briefly explained its aims and intended audience.
Machine Learning consists of programming a computer to perform specific tasks without giving it explicit instructions on how to so. This is usually done by feeding it large volumes of data from which it can learn.
Machine Learning makes it possible to find patterns in data that would otherwise be difficult to identify by conventional methods.
The objective of the workshop is to provide researchers with a basic introduction to some of the available tools for machine learning. Participants will learn how to develop their machine learning software by following good practices for scientific software development.
Good practices are important because they allow other researchers to reuse the machine learning software you develop.
The workshop is intended for PhD students, postdocs and researchers who develop software and would like to take advantage of Machine Learning algorithms.
Carlos Martinez stated: "We help researchers to use machine learning to improve their research and to develop their software in such a way that other researchers can reuse and benefit from it. I should mention that the eScience Center and SURF have extensive experience in helping researchers to fully benefit from Machine Learning by providing ICT infrastructure and high-quality research software. In addition, we are constantly looking for opportunities to share our expertise with researchers by organising symposiums, trainings, roadshows and workshops like this."
This workshop forms part of a series of computational skills workshops organized by the eScience Center and SURF.
More information is available at the Machine Learning Workshop website.