Teaching ML in 2021 - An Overview and Introduction

Oliver Guhr; Katherine M. Kinnaird; Peter Steinbach

Teaching ML in 2021 - An Overview and Introduction

Oliver Guhr, Katherine M. Kinnaird, Peter Steinbach

Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:1-4, 2022.

Abstract

With the second edition of Teaching ML, the continuous interest of the community to expand, endorse and validate teaching methods in Machine Learning related fields is strongly underlined. In this paper, we aspire to summarize the annual workshop in order to provide interested readers a head-start. Furthermore, this article is meant as an introduction to the proceedings of our workshop.

Cite this Paper

BibTeX


@InProceedings{pmlr-v170-guhr22a,
  title = 	 {Teaching ML in 2021 - An Overview and Introduction},
  author =       {Guhr, Oliver and Kinnaird, Katherine M. and Steinbach, Peter},
  booktitle = 	 {Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop},
  pages = 	 {1--4},
  year = 	 {2022},
  editor = 	 {Kinnaird, Katherine M. and Steinbach, Peter and Guhr, Oliver},
  volume = 	 {170},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {08--13 Sep},
  publisher =    {PMLR},
  pdf = 	 {https://proceedings.mlr.press/v170/guhr22a/guhr22a.pdf},
  url = 	 {https://proceedings.mlr.press/v170/guhr22a.html},
  abstract = 	 {With the second edition of Teaching ML, the continuous interest of the community to expand, endorse and validate teaching methods in Machine Learning related fields is strongly underlined. In this paper, we aspire to summarize the annual workshop in order to provide interested readers a head-start. Furthermore, this article is meant as an introduction to the proceedings of our workshop.}
}

Endnote

%0 Conference Paper
%T Teaching ML in 2021 - An Overview and Introduction
%A Oliver Guhr
%A Katherine M. Kinnaird
%A Peter Steinbach
%B Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop
%C Proceedings of Machine Learning Research
%D 2022
%E Katherine M. Kinnaird
%E Peter Steinbach
%E Oliver Guhr	
%F pmlr-v170-guhr22a
%I PMLR
%P 1--4
%U https://proceedings.mlr.press/v170/guhr22a.html
%V 170
%X With the second edition of Teaching ML, the continuous interest of the community to expand, endorse and validate teaching methods in Machine Learning related fields is strongly underlined. In this paper, we aspire to summarize the annual workshop in order to provide interested readers a head-start. Furthermore, this article is meant as an introduction to the proceedings of our workshop.

APA


Guhr, O., Kinnaird, K.M. & Steinbach, P.. (2022). Teaching ML in 2021 - An Overview and Introduction. Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, in Proceedings of Machine Learning Research 170:1-4 Available from https://proceedings.mlr.press/v170/guhr22a.html.

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