One of the most popular forms of unsupervised learning for text analysis is topic models, which I’ll be addressing here and in future posts. A topic model is a type of algorithm that scans a set of ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis ...

This course provides a hands-on introduction to model-based inference strategies including prediction, forecasting models and applications of simulation analysis and Bayesian models. The course begins ...