Machine Learning based approaches have become ubiquitous in many areas of society, industry and academia. Understanding what Machine Learning (ML) is providing and reproducing what it infers, has become an essential prerequisite for adoption. In this line of thought, course materials, introductory media and lecture series of a broad variety, depth, and quality are public availability. To this date and the best our knowledge, there is no structured approach to collect and discuss best practices in teaching Machine Learning. This workshop strives to change this.
The Teaching ML workshop wants to perpetuate an academic discussion on best practices. We would like to help improve existing material as a community and make conceiving new material more effective. We hope you will join us
You can contribute to the 2022 workshop by either reviewing papers, submitting your papers, or joining us for the workshop! Deadline for submissions is June 20, 2022.
You can find all dates and more details on the workshop's website. Please don't hesitate to reach out if you have any questions.
Katherine, Peter, and Oliver