When did we marketers start believing — really, truly believing — that we could predict the future? Let's ask the question in a data-based way: How strong is the proof of data-based, predictive ...

Machine learning models can drive business operations to great benefit. But, to get there, stakeholders must determine how model probabilities trigger actions. The number crunching can't determine it ...

Gibbs-type random probability measures, or Gibbs-type priors, are arguably the most “natural” generalization of the celebrated Dirichlet prior. Among them the two parameter Poisson–Dirichlet prior ...

H V Jagadish's research on Big Data is funded in part by the National Science Foundation and the National Institutes of Health. The term “predictive policing” suggests that the police can anticipate a ...