In Predictive Analytics, author Eric Siegel details the broad-ranging applications of predictive modeling in fields like healthcare, local governance and finance. The central thesis is that “You have been predicted,” and Siegel, a Columbia University professor, seeks to explain the different contexts in which this is true, and the associated risks and benefits. The book, aimed at a general readership, draws on numerous recent historical examples; in the spirit of its subject matter, however, it offers a great deal of prediction as well.
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, by Eric Siegel
Travis Korte is a research analyst at the Center for Data Innovation specializing in data science applications and open data. He has a background in journalism, computer science and statistics. Prior to joining the Center for Data Innovation, he launched the Science vertical of The Huffington Post and served as its Associate Editor, covering a wide range of science and technology topics. He has worked on data science projects with HuffPost and other organizations. Before this, he graduated with highest honors from the University of California, Berkeley, having studied critical theory and completed coursework in computer science and economics. His research interests are in computational social science and using data to engage with complex social systems. You can follow him on Twitter @traviskorte.
View all posts by Travis Korte