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Charles X. Ling earned his dual-BSc (CS and EE) from Shanghai Jiao Tong Univ in China, and both of his MSc and PhD from Computer and Information Science at Univ of Pennsylvania within four years. Since then he has been a faculty member in Computer Science at The University of Western Ontario (UWO).
Charles aims at developing intelligences in computers and in children. He strives to answer the following interrelated questions:
How to program computers to learn and improve automatically (machine learning), and how to apply machine learning to business, industries, and bioinformatics (data mining) How to make computers exhibit intelligent behaviors (cognitive science, AI) How to effectively teach children thinking strategies using research results from AI and cognitive science (child education).
Charles is an expert in data mining & machine learning, and their applications in Internet, business, health science, and bioinformatics.
Machine Learning for Stock Selection
as author at Industrial & Government Tracks,