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Design on Experimental Dataset and Task for Teaching in Data Science and Machine Learning

  • Zhen Chen,
  • Min Guo,
  • Li-Rui Deng,
  • Wen-Xun Zheng,
  • Hao Wang,
  • Jia-hui Chang,
  • Yi-song Zhang,
  • Xiao-Dong Ma,
  • Ying Gao,
  • Hao-Yu Wang,
  • Xin Lu,
  • Chao Li,
  • Jin Zhou,
  • Shuang Shou Li

摘要

One of the key factor in teaching data science and machine learning is the well-prepared dataset. Although there are some well-known datasets, such as the MNIST, Fashion MNIST and ImageNet dataset are already used in teaching. To inspire students to learn more actively, it needs the instructors to design new experimental tasks and build dataset with the participation of the students. In this paper, we introduce our live examples to design experiments with hand-crafted dataset, crawling-base data, and live generated IoT data.