ECMLPKDD 2021 Workshop TeachML Submissions

Data Analysis and Machine Learning Applications Curriculum for Open Science
Anonymous
- 28 Jun 2021 (modified: 05 May 2023)
- Submitted to TeachML 2021
- Readers: Everyone
Teaching Machine Learning in Argentina: the ClusterAI pipeline
Martin Palazzo, Agustin Velazquez, Melisa Breda, Matias Callara, Nicolas Aguirre
- Published: 21 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
Putting the "Machine" Back in Machine Learning for Engineering Students
Rudy Chin, Dimitrios Stamoulis, Diana Marculescu
- Published: 21 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
Participatory Live Coding and Learning-Centered Assessment in Programming for Data Science
Sarah M Brown
- Published: 24 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
A lesson for teaching fundamental Machine Learning concepts and skills to molecular biologists
Rabea Müller, Akinyemi Mandela Fasemore, Muhammad Elhossary, Konrad U Foerstner
- Published: 21 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
Experiences from Teaching Practical Machine Learning Courses to Master's Students with Mixed Backgrounds
Omar Shouman, Simon Fuchs, Holger Wittges
- Published: 21 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
Teaching Uncertainty Quantification in Machine Learning through Use Cases
Matias Valdenegro-Toro
- Published: 21 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
Feedbacks on a Machine Learning Curriculum for an International Audience
Anonymous
- 28 Jun 2021 (modified: 05 May 2023)
- Submitted to TeachML 2021
- Readers: Everyone
Teaching Machine Learning in the Context of Critical Quantitative Information Literacy
Carrie Diaz Eaton
- Published: 21 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
Deeper Learning By Doing: Integrating Hands-On Research Projects Into A Machine Learning Course
Sebastian Raschka
- Published: 21 Jul 2021, Last Modified: 22 Oct 2023
- TeachML 2021
- Readers: Everyone
Teaching Responsible Machine Learning to Engineers
Hilde Jacoba Petronella Weerts, Mykola Pechenizkiy
- Published: 21 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
Developing Open Source Educational Resources for Machine Learning and Data Science
Anonymous
- 28 Jun 2021 (modified: 05 May 2023)
- Submitted to TeachML 2021
- Readers: Everyone
Collaborative Build of Statistics and Machine Learning Analysis Pipelines for Cosmology and Particle Physics
Anonymous
- 28 Jun 2021 (modified: 05 May 2023)
- Submitted to TeachML 2021
- Readers: Everyone
Teaching Machine Learning for the Physical Sciences:A summary of lessons learned and challenges
Viviana Acquaviva
- Published: 23 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
Teaching Deep Learning, a boisterous ever-evolving field
Alfredo Canziani
- Published: 23 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
Using Matchboxes to Teach the Basics of Machine Learning: an Analysis of (Possible) Misconceptions
Erik Marx, Thiemo Leonhardt, David Baberowski, Nadine Bergner
- Published: 21 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
An Introduction to AI for GLAM
Daniel van Strien, Mark Bell, Nora Rose McGregor, Michael Trizna
- Published: 21 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
Deep Learning Projects from a Regional Council: An Experience Report
Jónathan Heras
- Published: 21 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
Teaching machine learning through end-to-end decision making
Hussain Kazmi
- Published: 21 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone
Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses
Patrick Glauner
- Published: 21 Jul 2021, Last Modified: 05 May 2023
- TeachML 2021
- Readers: Everyone