This paper provides a brief survey of the basic concepts and algorithms used for Machine
Learning and its applications. We begin with a broader definition of machine learning and …

The rapid growth of e-commerce has significantly increased the demand for advanced
techniques to address specific tasks in the e-commerce field. In this paper, we present a …

Why did Americans vote for Donald Trump in the 2016 Presidential election? Social
scientists have proposed a variety of explanations, including economic dissatisfaction …

More comprehensive than other texts, this new book covers the classic and cutting edge
multivariate techniques used in today's research. Ideal for courses on multivariate …

Why does public conflict over societal risks persist in the face of compelling and widely
accessible scientific evidence? We conducted an experiment to probe two alternative …

Decision scientists have identified various plausible sources of ideological polarization over
climate change, gun violence, national security, and like issues that turn on empirical …

This longitudinal study examined factors that contribute to the persistence of
underrepresented racial minority (URM) undergraduates in STEM fields. The primary source …

Background: The bootstrap can be alternative to cross-validation as a training/test set
splitting method since it minimizes the computing time in classification problems in …

" What are the most effective methods to code and analyze data for a particular study? This
thoughtful and engaging book reviews the selection criteria for coding and analyzing any set …

This succinct and jargon-free introduction to effect sizes gives students and researchers the
tools they need to interpret the practical significance of their results. Using a class-tested …