Machine Learning for Non-Programmers

被引：2

作者：

Shastri, Dvijesh J. ^{[1
]}

机构：

[1] Univ Houston Downtown, Houston, TX 77479 USA

来源：

CHI'20: EXTENDED ABSTRACTS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS | 2020年

关键词：

Machine learning; open source machine learning and data visualization tool called Orange;

D O I：

10.1145/3334480.3375051

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：3