Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

Chief Data Scientist at Reorg, a global provider of credit intelligence, data and analytics, and Adjunct at UVA’s School of Data Science. Text data is one of the largest forms of unstructured ...

Sports coaches have always made decisions based on experience, observation and intuition. But they are increasingly relying ...

3. False positives vs. false negatives. Modeling errors are evident in the form of Type I errors (false positives) and Type II errors (false negatives). When a client's time is so valuable that ...

Pecan AI, the leader in AI-based predictive analytics for BI analysts and business teams, today announced the addition of one-click model deployment a ...