All events for ICPSR — Machine Learning: Applications and Opportunities in Social Science Research (VIRTUAL)

The field of machine learning is most commonly associated with “big data”: how we can use massive datasets to make better predictions about things like credit card fraud, Netflix recommendations, and the like. Though machine learning has been most influential in its commercial and medical applications, a growing number of social scientists are taking advantage of these methods to: uncover patterns and structure embedded in data test and improve model specification and predictions perform data reduction   This course covers…

The field of machine learning is most commonly associated with “big data”: how we can use massive datasets to make better predictions about things like credit card fraud, Netflix recommendations, and the like. Though machine learning has been most influential in its commercial and medical applications, a growing number of social scientists are taking advantage of these methods to: uncover patterns and structure embedded in data test and improve model specification and predictions perform data reduction   This course covers…

The field of machine learning is most commonly associated with “big data”: how we can use massive datasets to make better predictions about things like credit card fraud, Netflix recommendations, and the like. Though machine learning has been most influential in its commercial and medical applications, a growing number of social scientists are taking advantage of these methods to: uncover patterns and structure embedded in data test and improve model specification and predictions perform data reduction   This course covers…