Machine Learning for Non-Programmers


연구 분야: Artificial Intelligence



학회: CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems


초록

Machine learning (ML) for data analysis have attracted the HCI community in the recent years. Multiple prebuilt ML libraries are available for popular programming languages such as R and Python to build and evaluate ML models. However, their usage demands good programming knowledge. The proposed course relaxes the need of programming by offering the model building via an open-source data mining tool called Orange. Orange features drag-and-drop functionality which enables ML developers to focus on model building rather than worrying about coding syntax. This course introduces the complete data mining pipeline with hands-on exercises on build and evaluating ML models.


Author Profile
D. Shastri

University of Houston - Downtown Houston TX USA

United States

📄 논문 정보

발행 연도 2020년
인용수 2
출판 국가 United States
사이트 ACM
좋아요 수 0

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