Teaching Expectations: Applying Machine-Learning Frameworks vs. Theoretical Knowledge vs Social Impact … [What Machine-Learning Students Think/Like/Know/Are …]
Students apparently had a strong focus on the application of machine learning. Students could each distribute 100 points to the different categories, and most students (24% of the points) wanted to learn about machine learning frameworks like scikit-learn, or Tensorflow. However, also a deep understanding of algorithms was demanded (19%). Learning about the impact of machine learning on the society apparently was least attractive to the machine-learning students (9%).