<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Academia remains the central place of machine learning education. While academic culture is the predominant factor influencing the way we teach machine learning to students, many practitioners question this culture, claiming the lack of alignment between academic and business environments. Drawing on professional experiences from both sides of the chasm, we describe the main points of contention, in the hope that it will help better align academic syllabi with the expectations towards future machine learning practitioners. We also provide recommendations for teaching of the applied aspects of machine learning.</p></abstract>

Academia remains the central place of machine learning education. While academic culture is the predominant factor influencing the way we teach machine learning to students, many practitioners question this culture, claiming the lack of alignment between academic and business environments. Drawing on professional experiences from both sides of the chasm, we describe the main points of contention, in the hope that it will help better align academic syllabi with the expectations towards future machine learning practitioners. We also provide recommendations for teaching of the applied aspects of machine learning.

Return on Investment in Machine Learning: Crossing the Chasm between Academia and Business

Wroclaw University of Science and Technology

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Academia remains the central place of machine learning education. While academic culture is the predominant factor influencing the way we teach machine...

Return on Investment in Machine Learning: Crossing the Chasm between Academia and Business

Data publikacji: 16 gru 2020

Zakres stron: 281 - 304

Otrzymano: 16 mar 2020

Przyjęty: 30 lis 2020

DOI: https://doi.org/10.2478/fcds-2020-0015

Słowa kluczowe
applied machine learning, machine learning teaching, machine learning engineering

© 2020 Jan Mizgajski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Return on Investment in Machine Learning: Crossing the Chasm between Academia and Business

Data publikacji: 16 gru 2020

Zakres stron: 281 - 304

Otrzymano: 16 mar 2020

Przyjęty: 30 lis 2020

DOI: https://doi.org/10.2478/fcds-2020-0015

Słowa kluczoweapplied machine learning, machine learning teaching, machine learning engineering

© 2020 Jan Mizgajski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
applied machine learning, machine learning teaching, machine learning engineering