Earlier and broader access to machine learning

该项目的目标是开发一个模块集合，以各种组合方式使用，向本科生介绍机器学习的概念和技术。该项目将机器学习的概念和技术带给本科生，并探索以各种组合形式使用该材料的模块化演示的可行性，以满足各种学科领域的需求。该项目通过处理主题领域的真实场景和使用咨询委员会提供的真实数据集来激励研究。该项目增加了在需要分析大量数据的领域进行研究和开发的毕业生数量。pi从代表性不足的群体中吸引学生，既可以作为材料的测试者，也可以作为最初课程部署的学生。生成的模块可以自由地进行调整和重用。

The project goal is to develop a collection of modules to be used in various combinations, to introduce undergraduate students to the concepts and techniques of Machine Learning.The project brings the concepts and techniques of Machine Learning to undergraduates, and explores the feasibility of making modular presentations of this material in formats for use in various combinations to meet the needs in a variety of subject areas. The project motivates the study by working with real scenarios from the subject domains and by using real data sets provided by an advisory board.This project increases the pool of graduates available for research and development in areas where large quantities of data must be analyzed. The PIs attract students from underrepresented groups, both as testers of the materials and as students in the initial course deployments. The resulting modules are freely available for adaptation and reuse.