Experiences from Teaching Practical Machine Learning Courses to Master’s Students with Mixed Backgrounds

Omar Shouman, Simon Fuchs, Holger Wittges
Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:62-67, 2022.

Abstract

Machine learning education has become more accessible and relevant to students from various backgrounds. Practical courses complement theoretical lectures by focusing on applied machine learning. In this work, we report about our experiences from teaching two machine learning practical courses to master students from different study programs; an introductory and an advanced course. We present a summary of the teaching and evaluation methods used in both courses. We summarize our experiences and the feedback collected from the students through a survey. We conclude with our recommendations on teaching and designing practical machine learning courses.

Cite this Paper

BibTeX
@InProceedings{pmlr-v170-shouman22a, title = {Experiences from Teaching Practical Machine Learning Courses to Master’s Students with Mixed Backgrounds}, author = {Shouman, Omar and Fuchs, Simon and Wittges, Holger}, booktitle = {Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop}, pages = {62--67}, 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/shouman22a/shouman22a.pdf}, url = {https://proceedings.mlr.press/v170/shouman22a.html}, abstract = {Machine learning education has become more accessible and relevant to students from various backgrounds. Practical courses complement theoretical lectures by focusing on applied machine learning. In this work, we report about our experiences from teaching two machine learning practical courses to master students from different study programs; an introductory and an advanced course. We present a summary of the teaching and evaluation methods used in both courses. We summarize our experiences and the feedback collected from the students through a survey. We conclude with our recommendations on teaching and designing practical machine learning courses.} }
Endnote
%0 Conference Paper %T Experiences from Teaching Practical Machine Learning Courses to Master’s Students with Mixed Backgrounds %A Omar Shouman %A Simon Fuchs %A Holger Wittges %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-shouman22a %I PMLR %P 62--67 %U https://proceedings.mlr.press/v170/shouman22a.html %V 170 %X Machine learning education has become more accessible and relevant to students from various backgrounds. Practical courses complement theoretical lectures by focusing on applied machine learning. In this work, we report about our experiences from teaching two machine learning practical courses to master students from different study programs; an introductory and an advanced course. We present a summary of the teaching and evaluation methods used in both courses. We summarize our experiences and the feedback collected from the students through a survey. We conclude with our recommendations on teaching and designing practical machine learning courses.
APA
Shouman, O., Fuchs, S. & Wittges, H.. (2022). Experiences from Teaching Practical Machine Learning Courses to Master’s Students with Mixed Backgrounds. Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, in Proceedings of Machine Learning Research 170:62-67 Available from https://proceedings.mlr.press/v170/shouman22a.html.

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